Unify Chat Provider

Integrate multiple LLM API providers into VS Code's GitHub Copilot Chat using the Language Model API.

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Features

• 🐑 Free Tier Access: Aggregates the latest free mainstream models, configurable in just a few steps!
• 🔌 Perfect Compatibility: Supports all major LLM API formats (OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Ollama Chat, Gemini).
• 🎯 Deep Adaptation: Adapts to special API features and best practices of 45+ mainstream providers.
• 🚀 Best Performance: Built-in recommended parameters for 200+ mainstream models, allowing you to maximize model potential without tuning.
• 📦 Out of the Box: One-click configuration, or one-click migration from mainstream applications and extensions, with automatic syncing of official model lists, no tedious operations required.
• 💾 Import and Export: Complete import/export support; import existing configs via Base64, JSON, URL, or URI.
• 💎 Great UX: Visual interface configuration, fully open model parameters, supports unlimited provider and model configurations, and supports coexistence of multiple configuration variants for the same provider and model.
• ✨ One More Thing: One-click use of your Claude Code, Gemini CLI, Antigravity, Github Copilot, Qwen Code, OpenAI Codex (ChatGPT Plus/Pro) account quotas.

Installation

• Search for Unify Chat Provider in the VS Code Extension Marketplace and install it.
• Download the latest .vsix file from GitHub Releases, then install it in VS Code via Install from VSIX... or by dragging it into the Extensions view.

Quick Start

Check out the Cookbook, you can start using it in minutes:

• Free Claude 4.5 & Gemini 3 / 3.1 Series Models:
  • Add Gemini CLI / Antigravity Account
• Partially Free Claude, GPT, Gemini, Grok Series Models:
  • Add GitHub Copilot Account
• Free Kimi K2.5, GLM 4.7, MiniMax M2.1 Series Models:
  • Add Nvidia Account
• Kimi, GLM, MiniMax, Qwen, DeepSeek, Llama Series Models:
  • Add Synthetic Account
• More Recipes:
  • Impersonate Claude Code Client

You can also check the Provider Support Table:

• Browse all providers with long-term free quotas.
• One-Click Configuration to start.

When you have added multiple providers or models:

• Use the Manage Providers interface for unified management.
• Use Import and Export to backup or share configurations with others.

Currently, you might also be looking for:

• One-Click Migration: Migrate from other apps or extensions.
• Manual Configuration: Add any provider and model completely from scratch.

If the above content still doesn't help you, please continue reading the rest of this document, or create an Issue for help.

🍱 Cookbook

Add Gemini CLI / Antigravity Account

⚠️ Warning: This may violate Google's Terms of Service, please be aware of the risk of account banning!

0. You need to prepare a Google account.
1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.
2. Select Google Antigravity in the list, leave Project ID blank and press Enter.
3. Allow the extension to open the browser for authorized login, and log in to your account in the browser.
4. After logging in, return to VS Code and click the Save button at the bottom of the configuration interface to complete.
5. Optional: Repeat the above steps to add the Google Gemini CLI provider.

The quotas for Antigravity and Gemini CLI for the same account are independent, so it is recommended to add both to get more free quotas.

Gemini CLI Permission Error Solution:

When using Gemini CLI models, you may see:

• Permission 'cloudaicompanion.companions.generateChat' denied on resource '//cloudaicompanion.googleapis.com/projects/...'
• 'No project ID found for Gemini CLI.'

That means you need to have your own Project ID.

1. Go to Google Cloud Console
2. Create or select a project
3. Enable the Gemini for Google Cloud API (cloudaicompanion.googleapis.com)
4. When authorizing, explicitly fill in the Project ID instead of leaving it blank.

Add GitHub Copilot Account

VS Code's Copilot Chat itself supports logging into a GitHub Copilot account, so this is generally used to quickly switch between multiple accounts.

0. You need to prepare a Github account.
1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.
2. Select Github Copilot in the list, and choose Github.com or Github Enterprise depending on whether your account is an enterprise subscription.
3. Allow the extension to open the browser for authorized login, and log in to your account in the browser.
4. After logging in, return to VS Code and click the Save button at the bottom of the configuration interface to complete.

Add Nvidia Account

0. You need to prepare an Nvidia account.
1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.
2. Select Nvidia in the list, fill in the API Key generated in the user panel and press Enter.
3. Click the Save button at the bottom of the configuration interface to complete.

If you need to use the Kimi K2.5 model, please add it from the built-in model list, as the official API may not have returned this model information yet.

Add Synthetic Account

0. You need to prepare a Synthetic account.
1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.
2. Select Synthetic in the list, fill in the API Key generated in the user panel and press Enter.
3. Click the Save button at the bottom of the configuration interface to complete.

Impersonate Claude Code Client

⚠️ Warning: This may violate the provider's Terms of Service, please be aware of the risk of account banning!

When do you need to use this?

• Some Coding Plan subscriptions or relay sites require you to strictly use their API Key in Claude Code.
• You need to use Claude Code's account quota in Github Copilot.

Steps:

0. You need to prepare a Claude Code account or API Key (whether official Key or not).
1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.
2. Select Claude Code in the list, and choose from two verification methods:
   • API Key: Fill in the API Key used in Claude Code.
   • Claude Code: Allow the extension to open the browser for authorized login, and log in to your account in the browser.
3. If your Base URL is not the official https://api.anthropic.com:
   • In the pop-up configuration interface, click Provider Settings... -> API Base URL and fill in the URL you want to use.
   • Return to the previous interface.
4. Click the Save button at the bottom of the configuration interface to complete.

Basic Operations

The UI is integrated into the VS Code Command Palette for a more native experience. Here’s the basic workflow:

1. Open the Command Palette:
   • From the menu: View -> Command Palette...
   • Or with the shortcut: Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac)
2. Search commands:
   • Type Unify Chat Provider: or ucp: to find all commands.
3. Run a command:
   • Select a command with mouse or arrow keys, then press Enter.

One-Click Migration

See the Application Migration Support Table to learn which apps and extensions are supported.

If your app/extension is not in the list, you can configure it via One-Click Configuration or Manual Configuration.

Steps:

1. Open the VS Code Command Palette and search for Unify Chat Provider: Import Config From Other Applications.

   
   - The UI lists all supported apps/extensions and the detected config file paths. - Use the button group on the far right of each item for additional actions: 1. `Custom Path`: Import from a custom config file path. 2. `Import From Config Content`: Paste the config content directly.

2. Choose the app/extension you want to import, then you’ll be taken to the config import screen.

   • This screen lets you review and edit the config that will be imported.
   • For details, see the Provider Settings section.

3. Click Save to complete the import and start using the imported models in Copilot Chat.

   

One-Click Configuration

See the Provider Support Table for providers supported by one-click configuration.

If your provider is not in the list, you can add it via Manual Configuration.

Steps:

1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.

   

2. Select the provider you want to add.

3. Follow the prompts to configure authentication (usually an API key, or it may require logging in via the browser), then you’ll be taken to the config import screen.

   • This screen lets you review and edit the config that will be imported.
   • For details, see the Provider Settings section.

4. Click Save to complete the import and start using the models in Copilot Chat.

   

Manual Configuration

This section uses DeepSeek as an example, adding the provider and two models.

DeepSeek supports One-Click Configuration. This section shows the manual setup for demonstration purposes.

0. Preparation: get the API information from the provider docs, at least the following:

   • API Format: The API format (e.g., OpenAI Chat Completions, Anthropic Messages).
   • API Base URL: The base URL of the API.
   • Authentication: Usually an API key; obtained from the user center or console after registration.

1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider.

   
   - This screen is similar to the [Provider Settings](#provider-settings) screen, and includes in-place documentation for each field.

2. Fill in the provider name: Name.

   • The name must be unique and is shown in the model list. Here we use DeepSeek.
   • You can create multiple configs for the same provider with different names, e.g., DeepSeek-Person, DeepSeek-Team.

3. Choose the API format: API Format.

   • DeepSeek uses the OpenAI Chat Completion format, so select that.
   • To see all supported formats, refer to the API Format Support Table.

4. Set the base URL: API Base URL.

   • DeepSeek’s base URL is https://api.deepseek.com.

5. Configure authentication: Authentication.

   • DeepSeek uses API Key for authentication, so select API Key.
   • Enter the API key generated from the DeepSeek console.

6. Click Models to go to the model management screen.

   

7. Enable Auto-Fetch Official Models.

   • This example uses auto-fetch to reduce configuration steps; see Auto-Fetch Official Models for details.
   • For model fields and other ways to add models, see Manage Models.

8. Click Save to finish. You can now use the models in Copilot Chat.

   

Manage Providers

• You can create unlimited provider configurations, and multiple configs can coexist for the same provider.
• Provider names must be unique.

Provider List

Open the VS Code Command Palette and search for Unify Chat Provider: Manage Providers.

• Add Provider: Add a new provider via Manual Configuration.
• Add From Well-Known Provider List: Add a new provider via One-Click Configuration.
• Import From Config: Import an existing provider config (or an array of provider configs). See Import and Export.
• Import From Other Applications: Import configs from other apps/extensions via One-Click Migration.
• Export All Providers: Export all provider configs. See Import and Export.

The UI also shows all existing providers. Click a provider item to enter the Model List screen.

The button group on the right of each provider item provides additional actions:

• Export: Export this provider config. See Import and Export.
• Duplicate: Clone this provider config to create a new one.
• Delete: Delete this provider config.

Provider Settings

• Models: This button only appears while adding or importing a config; click it to enter the Model List screen.

This screen shows all configuration fields for the provider. For field details, see Provider Parameters.

Manage Models

• Each provider can have unlimited model configurations.
• The same model ID can exist under different providers.
• Within a single provider config, you cannot have multiple identical model IDs directly, but you can create multiple configs by adding a #xxx suffix.
• For example, you can add both glm4.7 and glm4.7#thinking to quickly switch thinking on/off.
• The #xxx suffix is automatically removed when sending requests.
• Model names can be duplicated, but using distinct names is recommended to avoid confusion.

Model List

• Add Model: Go to Add Model Manually.
• Add From Well-Known Model List: Go to One-Click Add Models.
• Add From Official Model List: Fetch the latest official model list via API. See One-Click Add Models.
• Import From Config: Import an existing model config (or an array of model configs). See Import and Export.
• Auto-Fetch Official Models: Enable or disable Auto-Fetch Official Models.
• Provider Settings: Go to Provider Settings.
• Export: Export this provider config or the model array config. See Import and Export.
• Duplicate: Clone this provider config to create a new one.
• Delete: Delete this provider config.

Add Model Manually

This screen is similar to the Model Settings screen; you can read the in-place documentation to understand each field.

One-Click Add Models

This screen lists all models that can be added with one click. You can import multiple selected models at once.

See the Model Support Table for the full list of supported models.

Auto-Fetch Official Models

This feature periodically fetches the latest official model list from the provider’s API and automatically configures recommended parameters, greatly simplifying model setup.

Tip

A provider’s API may not return recommended parameters. In that case, recommended parameters are looked up from an internal database by model ID. See the Model Support Table for models that have built-in recommendations.

• Auto-fetched models show an internet icon before the model name.
• If an auto-fetched model ID conflicts with a manually configured one, only the manually configured model is shown.
• Auto-fetched models are refreshed periodically; you can also click (click to fetch) to refresh manually.
• Run the VS Code command Unify Chat Provider: Refresh All Provider's Official Models to trigger refresh for all providers.

Model Settings

• Export: Export this model config. See Import and Export.
• Duplicate: Clone this model config to create a new one.
• Delete: Delete this model config.

This screen shows all configuration fields for the model. For field details, see Model Parameters.

Sync Built-in Parameters to All Configs

Run Unify Chat Provider: Sync Built-in Parameters to All Configs to sync local model parameters with the built-in model parameters.

This is typically used after a new version updates or optimizes built-in model parameters, allowing you to sync existing configs in one click.

Balance Monitoring

Use this feature to monitor provider balances in Provider Settings.

• Run the VS Code command Unify Chat Provider: Provider Balance Monitoring to open the balance monitoring panel.
• Configure it from the Balance Monitor field.
• Built-in methods:
  • Moonshot AI Balance: no extra config required; uses provider baseUrl and API key.
  • Kimi Code Usage: no extra config required; uses provider baseUrl and API key.
  • New API Balance: always shows API key balance; user balance is optional and requires userId + systemToken (sensitive data).
  • DeepSeek Balance: no extra config required; uses provider baseUrl and API key.
  • OpenRouter Balance: no extra config required; uses provider baseUrl and API key.
  • SiliconFlow Balance: no extra config required; uses provider baseUrl and API key.
  • AIHubMix Balance: no extra balance config required; uses provider baseUrl, API key, and optional APP-Code from provider extraHeaders.
  • Claude Relay Service Balance: no extra config required; uses provider baseUrl and API key.
  • Antigravity Usage: no extra config required; uses the provider OAuth credential and project settings.
  • Gemini CLI Usage: no extra config required; uses the provider OAuth credential and optional project settings.
  • Codex Usage: no extra config required; uses provider credential (API key or Codex auth token).
• Run the VS Code command Unify Chat Provider: Refresh All Providers' Balance Information to force refresh balances for all configured providers.

Adjust Parameters

Global Settings

Name	ID	Description
Global Network Settings	networkSettings	Network timeout/retry settings, which only affect chat requests.
Model Display Name Template	modelDisplayNameTemplate	Template for chat model names. Example: {modelName} [{providerName}{remainingBalance}].
Balance Refresh Interval	balanceRefreshIntervalMs	Periodic refresh interval for provider balances (milliseconds).
Balance Throttle Window	balanceThrottleWindowMs	Throttle window for post-request balance refresh (milliseconds).
Store API Key in Settings	storeApiKeyInSettings	Please see Cloud Sync Compatibility for details.
Enable Detailed Logging	verbose	Enables more detailed logging for troubleshooting errors.

Provider Parameters

The following fields correspond to ProviderConfig (field names used in import/export JSON).

Name	ID	Description
API Format	type	Provider type (determines the API format and compatibility logic).
Provider Name	name	Unique name for this provider config (used for list display and references).
API Base URL	baseUrl	API base URL, e.g. https://api.anthropic.com.
Transport Mode	transport	Preferred transport mode for this provider. Leave empty to use the provider default.
Service Tier	serviceTier	Default processing tier for requests from this provider.
Context Cache	contextCache	Context cache configuration (used by providers that support prompt caching).
Context Cache Type	contextCache.type	only-free (default): use context cache only when it's free. allow-paid: use it even if it may incur cost.
Context Cache TTL (seconds)	contextCache.ttl	TTL in seconds. Leave empty to use the provider's default TTL. Some providers may quantize this to supported TTL presets; paid presets may require allow-paid.
Authentication	auth	Authentication config object.
Balance Monitor	balanceProvider	Provider-level balance monitoring config.
Models	models	Array of model configurations (ModelConfig[]).
Extra Headers	extraHeaders	HTTP headers appended to every request (Record<string, string>).
Extra Body Fields	extraBody	Extra fields appended to request body (Record<string, unknown>), for provider-specific parameters.
Timeout	timeout	Timeout settings for HTTP requests and SSE streaming (milliseconds).
Connection Timeout	timeout.connection	Maximum time to wait for establishing a TCP connection; default 60000 (60 seconds).
Response Interval Timeout	timeout.response	Maximum time to wait between SSE chunks; default 300000 (5 minutes).
Retry	retry	Retry settings for transient errors (chat requests only).
Max Retries	retry.maxRetries	Maximum number of retry attempts; default 10.
Initial Delay	retry.initialDelayMs	Initial delay before the first retry (milliseconds); default 1000.
Max Delay	retry.maxDelayMs	Maximum delay cap for retries (milliseconds); default 60000.
Backoff Multiplier	retry.backoffMultiplier	Exponential backoff multiplier; default 2.
Jitter Factor	retry.jitterFactor	Jitter factor (0-1) to randomize delay; default 0.1.
Auto-Fetch Official Models	autoFetchOfficialModels	Whether to periodically fetch and auto-update the official model list from the provider API.

Model Parameters

The following fields correspond to ModelConfig (field names used in import/export JSON).

Name	ID	Description
Model ID	id	Model identifier (you can use a #xxx suffix to create multiple configs for the same model; the suffix is removed when sending requests).
Display Name	name	Name shown in the UI (usually falls back to id if empty).
Model Family	family	A grouping identifier for grouping/matching models (e.g., gpt-4, claude-3).
Max Input Tokens	maxInputTokens	Maximum input/context tokens (some providers interpret this as total context for “input + output”).
Max Output Tokens	maxOutputTokens	Maximum generated tokens (required by some providers, e.g., Anthropic’s max_tokens).
Tokenizer	tokenizer	Tokenizer used for VS Code token counting (provideTokenCount). Default: default.
Token Count Multiplier	tokenCountMultiplier	Multiplier applied to the token count before returning it to VS Code. Default: 1.0.
Capabilities	capabilities	Capability declaration (for UI and routing logic; may also affect request construction).
Tool Calling	capabilities.toolCalling	Whether tool/function calling is supported; if a number, it represents the maximum tool count.
Image Input	capabilities.imageInput	Whether image input is supported.
Edit Tools	capabilities.editTools	Edit tool hint preset for VS Code / Copilot Chat.
Streaming	stream	Whether streaming responses are enabled (if unset, default behavior is used).
Temperature	temperature	Sampling temperature (randomness).
Top-K	topK	Top-k sampling.
Top-P	topP	Top-p (nucleus) sampling.
Frequency Penalty	frequencyPenalty	Frequency penalty.
Presence Penalty	presencePenalty	Presence penalty.
Parallel Tool Calling	parallelToolCalling	Whether to allow parallel tool calling (true enable, false disable, undefined use default).
Service Tier	serviceTier	Processing tier for official OpenAI / Anthropic requests. auto lets the provider choose; standard maps to OpenAI default and Anthropic standard_only; flex / scale / priority are OpenAI-specific and fall back to Anthropic standard_only. Leave empty to omit the field.
Verbosity	verbosity	Constrain verbosity: low / medium / high (not supported by all providers).
Thinking	thinking	Thinking/reasoning related config (support varies by provider).
Thinking Mode	thinking.type	enabled / disabled / auto
Thinking Budget Tokens	thinking.budgetTokens	Token budget for thinking.
Thinking Effort	thinking.effort	none / minimal / low / medium / high / xhigh
Thinking Summary	thinking.summary	Reasoning summary level for Responses-style APIs: auto / concise / detailed
Extra Headers	extraHeaders	HTTP headers appended to this model request (Record<string, string>).
Extra Body Fields	extraBody	Extra fields appended to this model request body (Record<string, unknown>).
Preset Templates	presetTemplates	Configured preset templates can be selected from the VS Code model configuration submenu. Each template corresponds to one enum option group. Templates are applied in declaration order, and later templates override earlier fields with the same name.

Service Tier Notes

• serviceTier is only sent automatically when the provider baseUrl matches the official OpenAI or Anthropic endpoints.
• Leaving serviceTier empty means this extension omits the service_tier field and keeps the provider default behavior.
• Mapping for the official OpenAI API:
  • auto -> auto
  • standard -> default
  • flex -> flex
  • scale -> scale
  • priority -> priority
• Mapping for the official Anthropic API:
  • auto -> auto
  • standard / flex / scale / priority -> standard_only
• For non-official relay, proxy, or compatible endpoints, this extension does not inject service_tier automatically because providers may use different semantics.

Preset Template Notes

You can configure multiple preset templates for a single model. Each template corresponds to one enum option group displayed in the VS Code model selection submenu.

You can define custom preset templates to switch model parameters quickly. For example:

{
  "presetTemplates": [
    {
      "name": "Reasoning Effort",
      "id": "reasoningEffort",
      "presets": [
        {
          "name": "High",
          "description": "Suitable for tasks involving planning, coding, synthesis, or more difficult reasoning.",
          "id": "high",
          "config": {
            "thinking": {
              "type": "enabled",
              "effort": "high"
            },
            "temperature": 0.7
          }
        },
        {
          "name": "Low",
          "description": "A small amount of extra thinking can improve reliability with almost no added latency.",
          "id": "low",
          "config": {
            "thinking": {
              "type": "enabled",
              "effort": "low"
            },
            "temperature": 0.4
          }
        },
        {
          "name": "Default",
          "description": "Use the model's current configuration.",
          "id": "default",
          "config": {}
        }
      ],
      "default": "default"
    }
  ]
}

• config overrides fields in the model configuration. In the example above, high and low override thinking and temperature, while default overrides nothing and uses the model's current configuration.
• If multiple templates override the same field, they are applied in declaration order, and later templates override earlier fields with the same name.

Import and Export

Supported import/export payloads:

• Single provider configuration
• Single model configuration
• Multiple provider configurations (array)
• Multiple model configurations (array)

Supported import/export formats:

• Base64-url encoded JSON config string (export uses this format only)
• Plain JSON config string
• A URL pointing to a Base64-url encoded or plain JSON config string

URI Support

Supports importing provider configs via VS Code URI.

Example:

vscode://SmallMain.vscode-unify-chat-provider/import-config?config=<input>

<input> supports the same formats as in Import and Export.

Override Config Fields

You can add query parameters to override certain fields in the imported config.

Example:

vscode://SmallMain.vscode-unify-chat-provider/import-config?config=<input>&auth={"method":"api-key","apiKey":"my-api-key"}

The import will override the auth field before importing.

Provider Advocacy

If you are a developer for an LLM provider, you can add a link like the following on your website so users can add your model to this extension with one click:

<a href="vscode://SmallMain.vscode-unify-chat-provider/import-config?config=eyJ0eXBlIjoi...">Add to Unify Chat Provider</a>

Cloud Sync Compatibility

Extension configs are stored in settings.json, so they work with VS Code Settings Sync.

However, sensitive information is stored in VS Code Secret Storage by default, which currently does not sync.

So after syncing to another device, you may be prompted to re-enter keys or re-authorize.

If you want to sync sync-safe sensitive data (e.g., API keys), enable storeApiKeyInSettings.

OAuth credentials are always kept in Secret Storage to avoid multi-device token refresh conflicts.

This can increase the risk of user data leakage, so evaluate the risk before enabling.

API Format Support Table

API	ID	Typical Endpoint	Notes
OpenAI Chat Completion API	openai-chat-completion	/v1/chat/completions	If the base URL doesn’t end with a version suffix, /v1 is appended automatically.
OpenAI Responses API	openai-responses	/v1/responses	If the base URL doesn’t end with a version suffix, /v1 is appended automatically.
Google AI Studio (Gemini API)	google-ai-studio	/v1beta/models:generateContent	Automatically detect the version number suffix.
Google Vertex AI	google-vertex-ai	/v1beta/models:generateContent	Provide different base URL based on authentication.
Anthropic Messages API	anthropic	/v1/messages	Automatically removes duplicated /v1 suffix.
Ollama Chat API	ollama	/api/chat	Automatically removes duplicated /api suffix.

Provider Support Table

The providers listed below support One-Click Configuration. Implementations follow the best practices from official docs to help you get the best performance.

Tip

Even if a provider is not listed, you can still use it via Manual Configuration.

Provider	Supported Features	Free Quota	Balance Monitor
Open AI
Google AI Studio
Google Vertex AI	Authentication
Anthropic	InterleavedThinking FineGrainedToolStreaming
xAI
Hugging Face (Inference Providers)
OpenRouter	CacheControl ReasoningParam ReasoningDetails	Details	✅
AIHubMix			✅
Cerebras	ReasoningField DisableReasoningParam ClearThinking	Details
OpenCode Zen (OpenAI Chat Completion)	ReasoningContent	Details
OpenCode Zen (OpenAI Responses)	ReasoningContent	Details
OpenCode Zen (Anthropic Messages)	InterleavedThinking FineGrainedToolStreaming	Details
OpenCode Zen (Gemini)		Details
Nvidia		Details
Kilo Code	RawBaseUrl	Details
Alibaba Cloud Model Studio (China)	ThinkingParam3 ReasoningContent
Alibaba Cloud Model Studio (Coding Plan)	ThinkingParam3 ReasoningContent
Alibaba Cloud Model Studio (Coding Plan - International)	ThinkingParam3 ReasoningContent
Alibaba Cloud Model Studio (International)	ThinkingParam3 ReasoningContent
Model Scope (API-Inference)	ThinkingParam3 ReasoningContent	Details
Cline Bot		Details
Volcano Engine	AutoThinking ThinkingParam2 VolcContextCaching	Details
Volcano Engine (Coding Plan)	AutoThinking ThinkingParam2
Byte Plus	AutoThinking ThinkingParam2 VolcContextCaching
Tencent Cloud (China)
DeepSeek	ThinkingParam ReasoningContent		✅
Gitee AI
Xiaomi MIMO	ThinkingParam ReasoningContent
Ollama Local
Ollama Cloud
StepFun (China)	ReasoningField
StepFun (International)	ReasoningField
ZhiPu AI	ThinkingParam ReasoningContent ClearThinking	Details
ZhiPu AI (Coding Plan)	ThinkingParam ReasoningContent ClearThinking
Z.AI	ThinkingParam ReasoningContent ClearThinking	Details
Z.AI (Coding Plan)	ThinkingParam ReasoningContent ClearThinking
MiniMax (China)	ReasoningDetails
MiniMax (International)	ReasoningDetails
LongCat		Details
Moonshot AI (China)	ReasoningContent		✅
Moonshot AI (International)	ReasoningContent		✅
Moonshot AI (Coding Plan)	ReasoningContent		✅
StreamLake Vanchin (China)		Details
StreamLake Vanchin (China, Coding Plan)
StreamLake Vanchin (International)		Details
StreamLake Vanchin (International, Coding Plan)
SiliconFlow (China)	ThinkingParam3 ThinkingBudgetParam ReasoningContent	Details	✅
SiliconFlow (International)	ThinkingParam3 ThinkingBudgetParam ReasoningContent	Details	✅

Experimental Supported Providers:

⚠️ Warning: Adding the following providers may violate their Terms of Service!

• Your account may be suspended or permanently banned.
• You need to accept the risks yourself; all risks are borne by you.

Provider	Free Quota	Balance Monitor
OpenAI Codex (ChatGPT Plus/Pro)		✅
Qwen Code	Details
GitHub Copilot	Details
Google Antigravity	Details	✅
Google Gemini CLI	Details	✅
Claude Code
Synthetic	Details	✅

Long-Term Free Quotas:

Kilo Code

• Often includes free models, including stealth models and limited-time frontier models.
• Availability can change frequently, so check Kilo's latest listing in-app.

Cline Bot

• Supported models:
  • minimax/minimax-m2.5
  • kwaipilot/kat-coder-pro
  • z-ai/glm-5

Qwen Code

• Completely free.
• Supported models:
  • qwen3-coder-plus
  • qwen3-coder-flash
  • qwen3-vl-plus

GitHub Copilot

• Some models have free quotas, others require Copilot subscription. After subscription, it is completely free with monthly refreshing quotas.
• Supported models: Claude, GPT, Grok, Gemini and other mainstream models.

Google Antigravity

• Each model has a certain free quota, refreshing over time.
• Supported models: Claude 4.5 Series, Gemini 3.1 Series, Gemini 3 Series.

Google Gemini CLI

• Each model has a certain free quota, refreshing over time.
• Supported models: Gemini 3.1 Series, Gemini 3 Series, Gemini 2.5 Series.

Synthetic

• Provides various mainstream models via OpenAI-compatible API.
• Supported models: MiniMax M2.5, Qwen 3.5, Kimi K2.5, GLM 4.7, DeepSeek V3.2 / V3 / R1, Llama 3.3 and others.

Cerebras

• Some models have free quotas, refreshing over time.
• Supported models:
  • GLM 4.7
  • GPT-OSS-120B
  • Qwen 3 235B Instruct
  • ...

Nvidia

• Completely free, but with rate limits.
• Supports almost all open-source weight models.

Volcano Engine

• Each model has a certain free quota, refreshing over time.
• Supported models: Doubao, Kimi, DeepSeek and other mainstream models.

Model Scope

• Each model has a certain free quota, refreshing over time.
• Supported models: GLM, Kimi, Qwen, DeepSeek and other mainstream models.

ZhiPu AI / Z.AI

• Some models are completely free.
• Supported models: GLM Flash series models.

SiliconFlow

• Some models are completely free.
• Supported models: Mostly open-source weight models under 32B.

StreamLake

• Completely free, but with rate limits.
• Supported models:
  • KAT-Coder-Pro V1
  • KAT-Coder-Exp-72B-1010
  • KAT-Coder-Air

LongCat

• Has a certain free quota, refreshing over time.
• Supported models:
  • LongCat-Flash-Chat
  • LongCat-Flash-Thinking
  • LongCat-Flash-Thinking-2601
  • LongCat-Flash-Lite

OpenRouter

• Some models have certain free quotas, refreshing over time.
• Supported models: Frequently changing, models with 'free' in the name.

OpenCode Zen

• Some models are completely free.
• Supported models: Frequently changing, models with 'free' in the name.

Ollama Cloud

• Each model has a certain free quota, refreshing over time.
• Supports almost all open-source weight models.

Model Support Table

The models listed below support One-Click Add Models, and have built-in recommended parameters to help you get the best performance.

Tip

Even if a model is not listed, you can still use it via Add Model Manually and tune the parameters yourself.

Vendor	Series	Supported Models
OpenAI	GPT-5 Series	GPT-5, GPT-5.1, GPT-5.2, GPT-5.4, GPT-5.4 Mini, GPT-5.4 Nano, GPT-5.2 pro, GPT-5 mini, GPT-5 nano, GPT-5 pro, GPT-5-Codex, GPT-5.1-Codex, GPT-5.2-Codex, GPT-5.3-Codex, GPT-5.3-Codex-Spark, GPT-5.1-Codex-Max, GPT-5.1-Codex-mini, GPT-5.2 Chat, GPT-5.1 Chat, GPT-5 Chat
	GPT-4 Series	GPT-4o, GPT-4o mini, GPT-4o Search Preview, GPT-4o mini Search Preview, GPT-4.1, GPT-4.1 mini, GPT-4.1 nano, GPT-4.5 Preview, GPT-4 Turbo, GPT-4 Turbo Preview, GPT-4
	GPT-3 Series	GPT-3.5 Turbo, GPT-3.5 Turbo Instruct
	o Series	o1, o1 pro, o1 mini, o1 preview, o3, o3 mini, o3 pro, o4 mini
	oss Series	gpt-oss-120b, gpt-oss-20b
	Deep Research Series	o3 Deep Research, o4 mini Deep Research
	Other Models	babbage-002, davinci-002, Codex mini, Computer Use Preview
Google	Gemini 3.1 Series	gemini-3.1-pro-preview, gemini-3.1-flash-lite-preview
	Gemini 3 Series	gemini-3-pro-preview, gemini-3-flash-preview
	Gemini 2.5 Series	gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite
	Gemini 2.0 Series	gemini-2.0-flash, gemini-2.0-flash-lite
Anthropic	Claude 4 Series	Claude Opus 4.6, Claude Sonnet 4.6, Claude Sonnet 4.5, Claude Haiku 4.5, Claude Opus 4.5, Claude Sonnet 4, Claude Opus 4.1, Claude Opus 4
	Claude 3 Series	Claude Sonnet 3.7, Claude Sonnet 3.5, Claude Haiku 3.5, Claude Haiku 3, Claude Opus 3
xAI	Grok 4.20 Series	Grok 4.20 0309 (Reasoning), Grok 4.20 0309 (Non-Reasoning)
	Grok 4 Series	Grok 4.1 Fast (Reasoning), Grok 4.1 Fast (Non-Reasoning), Grok 4, Grok 4 Fast (Reasoning), Grok 4 Fast (Non-Reasoning)
	Grok Code Series	Grok Code Fast 1
	Grok 3 Series	Grok 3, Grok 3 Mini
	Grok 2 Series	Grok 2 Vision
Meta	Llama 3 Series	Llama 3.1 8B, Llama 3.1 70B, Llama 3.1 405B, Llama 3.3 70B
NVIDIA	Nemotron 3 Series	Nemotron 3 Super 120B A12B
DeepSeek	DeepSeek V3 Series	DeepSeek Chat, DeepSeek Reasoner, DeepSeek V3.2, DeepSeek V3.2 Exp, DeepSeek V3.2 Speciale, DeepSeek V3.1, DeepSeek V3.1 Terminus, DeepSeek V3, DeepSeek V3 (0324)
	DeepSeek R1 Series	DeepSeek R1, DeepSeek R1 (0528)
	DeepSeek V2.5 Series	DeepSeek V2.5
	DeepSeek V2 Series	DeepSeek V2
	DeepSeek VL Series	DeepSeek VL, DeepSeek VL2
	DeepSeek Coder Series	DeepSeek Coder, DeepSeek Coder V2
	DeepSeek Math Series	DeepSeek Math V2
ByteDance	Doubao 2.0 Series	Doubao Seed 2.0 Pro, Doubao Seed 2.0 Lite, Doubao Seed 2.0 Mini, Doubao Seed 2.0 Code Preview
	Doubao 1.8 Series	Doubao Seed 1.8, Doubao Seed Code Preview
	Doubao 1.6 Series	Doubao Seed 1.6, Doubao Seed 1.6 Lite, Doubao Seed 1.6 Flash, Doubao Seed 1.6 Vision
	Doubao 1.5 Series	Doubao 1.5 Pro 32k, Doubao 1.5 Pro 32k Character, Doubao 1.5 Lite 32k
	Other Models	Doubao Lite 32k Character
MiniMax	MiniMax M2 Series	MiniMax-M2.7, MiniMax-M2.7-Highspeed, MiniMax-M2.5, MiniMax-M2.5-Highspeed, MiniMax-M2.1, MiniMax-M2.1-Highspeed, MiniMax-M2
LongCat	LongCat Flash Series	LongCat Flash Chat, LongCat Flash Thinking, LongCat Flash Thinking 2601, LongCat Flash Lite
StreamLake	KAT-Coder Series	KAT-Coder-Pro V1, KAT-Coder-Exp-72B-1010, KAT-Coder-Air V1
Moonshot AI	Kimi K2.5 Series	Kimi K2.5
	Kimi K2 Series	Kimi K2 Thinking, Kimi K2 Thinking Turbo, Kimi K2 0905 Preview, Kimi K2 0711 Preview, Kimi K2 Turbo Preview, Kimi For Coding
Qwen	Qwen 3 Series	Qwen3-Max, Qwen3-Max-Thinking, Qwen3-Max Preview, Qwen3-Coder-Next, Qwen3-Coder-Plus, Qwen3-Coder-Flash, Qwen3-VL-Plus, Qwen3-VL-Flash, Qwen3-VL-32B-Instruct, Qwen3 0.6B, Qwen3 1.7B, Qwen3 4B, Qwen3 8B, Qwen3 14B, Qwen3 32B, Qwen3 30B A3B, Qwen3 235B A22B, Qwen3 30B A3B Thinking 2507, Qwen3 30B A3B Instruct 2507, Qwen3 235B A22B Thinking 2507, Qwen3 235B A22B Instruct 2507, Qwen3 Coder 480B A35B Instruct, Qwen3 Coder 30B A3B Instruct, Qwen3-Omni-Flash, Qwen3-Omni-Flash-Realtime, Qwen3-Omni 30B A3B Captioner, Qwen-Omni-Turbo, Qwen-Omni-Turbo-Realtime, Qwen3-VL 235B A22B Thinking, Qwen3-VL 235B A22B Instruct, Qwen3-VL 32B Thinking, Qwen3-VL 30B A3B Thinking, Qwen3-VL 30B A3B Instruct, Qwen3-VL 8B Thinking, Qwen3-VL 8B Instruct, Qwen3 Next 80B A3B Thinking, Qwen3 Next 80B A3B Instruct, Qwen-Plus, Qwen-Flash, Qwen-Turbo, Qwen-Max, Qwen-Long, Qwen-Doc-Turbo, Qwen Deep Research
	Qwen 3.5 Series	Qwen3.5-Plus, Qwen3.5-Flash, Qwen3.5-397B-A17B, Qwen3.5-122B-A10B, Qwen3.5-27B, Qwen3.5-35B-A3B, Qwen3.5-9B, Qwen3.5-4B, Qwen3.5-2B, Qwen3.5-0.8B
	Qwen 2.5 Series	Qwen2.5 0.5B Instruct, Qwen2.5 1.5B Instruct, Qwen2.5 3B Instruct, Qwen2.5 7B Instruct, Qwen2.5 14B Instruct, Qwen2.5 32B Instruct, Qwen2.5 72B Instruct, Qwen2.5 7B Instruct (1M), Qwen2.5 14B Instruct (1M), Qwen2.5 Coder 0.5B Instruct, Qwen2.5 Coder 1.5B Instruct, Qwen2.5 Coder 3B Instruct, Qwen2.5 Coder 7B Instruct, Qwen2.5 Coder 14B Instruct, Qwen2.5 Coder 32B Instruct, Qwen2.5 Math 1.5B Instruct, Qwen2.5 Math 7B Instruct, Qwen2.5 Math 72B Instruct, Qwen2.5-VL 3B Instruct, Qwen2.5-VL 7B Instruct, Qwen2.5-VL 32B Instruct, Qwen2.5-Omni-7B, Qwen2 7B Instruct, Qwen2 72B Instruct, Qwen2 57B A14B Instruct, Qwen2-VL 72B Instruct
	Qwen 1.5 Series	Qwen1.5 7B Chat, Qwen1.5 14B Chat, Qwen1.5 32B Chat, Qwen1.5 72B Chat, Qwen1.5 110B Chat
	QwQ/QvQ Series	QwQ-Plus, QwQ 32B, QwQ 32B Preview, QVQ-Max, QVQ-Plus, QVQ 72B Preview
	Qwen Coder Series	Qwen-Coder-Plus, Qwen-Coder-Turbo
	Other Models	Qwen-Math-Plus, Qwen-Math-Turbo, Qwen-VL-OCR, Qwen-VL-Max, Qwen-VL-Plus, Qwen-Plus Character (JA)
Xiaomi MIMO	MiMo V2 Series	MiMo V2 Pro, MiMo V2 Omni, MiMo V2 Flash
ZhiPu AI	GLM 5 Series	GLM-5, GLM-5-Turbo
	GLM 4 Series	GLM-4.7, GLM-4.7-Flash, GLM-4.7-FlashX, GLM-4.6, GLM-4.5, GLM-4.5-X, GLM-4.5-Air, GLM-4.5-AirX, GLM-4-Plus, GLM-4-Air-250414, GLM-4-Long, GLM-4-AirX, GLM-4-FlashX-250414, GLM-4.5-Flash, GLM-4-Flash-250414, GLM-4.6V, GLM-4.5V, GLM-4.1V-Thinking-FlashX, GLM-4.6V-Flash, GLM-4.1V-Thinking-Flash
	CodeGeeX Series	CodeGeeX-4
Tencent HY	HY 2.0 Series	HY 2.0 Think, HY 2.0 Instruct
	HY 1.5 Series	HY Vision 1.5 Instruct
StepFun	Step 3 Series	Step 3, Step 3.5 Flash
	Step 2 Series	Step 2 16k, Step 2 16k Exp, Step 2 Mini
	Step 1 Series	Step 1 8k, Step 1 32k, Step 1 128k, Step 1 256k, Step 1o Turbo Vision, Step 1o Vision 32k, Step 1v 8k, Step 1v 32k, Step R1 V Mini
OpenCode Zen	Zen	Big Pickle

Application Migration Support Table

The applications listed below support One-Click Migration.

Application	Notes
Claude Code	Migration is supported only when using a custom Base URL and API Key.
Codex	Migration is supported only when using a custom Base URL and API Key.
Gemini CLI	Migration is supported only when using the following auth methods: GEMINI_API_KEY, GOOGLE_API_KEY, GOOGLE_APPLICATION_CREDENTIALS.

Contributing

• Feel free to open an issue to report bugs, request features, or ask for support of new providers/models.
• Pull requests are welcome. See the roadmap.

Development

• Build: npm run compile
• Watch: npm run watch
• Interactive release: npm run release
• GitHub Actions release: Actions → Release (VS Code Extension) → Run workflow

License

MIT @ SmallMain