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Appendix

Application Icon   AI Models

AI models are constantly evolving, with new models appearing, updating, and sometimes disappearing. While a complete compendium of models and capabilities is impossible to create and maintain, here is a list of the commercial models currently supported, listing the size of the context window and supported functions, e.g., vision.

The icons for the functions are as follows: for vision, for tooling, for thinking, and for deep search.

OpenAI:

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    gpt-4.1-nano: 1048576 tokens  
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    gpt-4.1-mini: 1048576 tokens  
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    gpt-4.1: 1048576 tokens  
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    gpt-5-nano: 400000 tokens    
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    gpt-5-mini: 400000 tokens    
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    gpt-5: 400000 tokens    
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    o3: 200000 tokens    
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    o4-mini: 200000 tokens    

Anthropic:

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    Claude 3.5 Haiku: 199999 tokens  
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    Claude 4 Sonnet: 199999 tokens    
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    Claude 4.5 Sonnet: 199999 tokens    
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    Claude 4.1 Opus: 199999 tokens    

Gemini:

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    gemini-flash-lite: 1048576 tokens    
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    gemini-flash: 1048576 tokens    
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    gemini-pro: 1048576 tokens    

Mistral:

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    magistral-small-latest: 131072 tokens    
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    magistral-medium-latest: 131072 tokens    
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    mistral-small-latest: 131072 tokens  
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    mistral-medium-latest: 131072 tokens  
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    mistral-large-latest: 131072 tokens  

Perplexity:

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    sonar: 131072 tokens  
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    sonar-reasoning: 131072 tokens    
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    sonar-reasoning-pro: 131072 tokens    
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    sonar-deep-research: 131072 tokens  
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    sonar-pro: 199999 tokens  

Note: OpenRouter models provide access to some of the commercial models listed above. These are not included in the following list. Also, if you have an existing API key for a commercial model accessible via OpenRouter, we strongly recommend you use the bespoke key assigned by the AI provider.

OpenRouter:

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    amazon/nova-lite-v1: 300000 tokens  
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    amazon/nova-micro-v1: 128000 tokens
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    amazon/nova-pro-v1: 300000 tokens  
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    baidu/ernie-4.5-300b-a47b: 123000 tokens
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    baidu/ernie-4.5-vl-424b-a47b: 123000 tokens  
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    deepseek/deepseek-v3.1-terminus: 163840 tokens  
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    deepseek/deepseek-r1: 163840 tokens  
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    google/gemma-3-27b-it: 131072 tokens
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    meta-llama/llama-4-maverick: 1048576 tokens  
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    meta-llama/llama-4-scout: 327680 tokens  
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    microsoft/phi-4: 16384 tokens
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    microsoft/phi-4-multimodal-instruct: 131072 tokens  
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    microsoft/phi-4-reasoning-plus: 32768 tokens
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    mistralai/codestral-2508: 256000 tokens
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    mistralai/devstral-medium: 131072 tokens
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    mistralai/devstral-small: 128000 tokens
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    mistralai/magistral-medium-2506:thinking: 40960 tokens  
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    mistralai/mistral-saba: 32768 tokens
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    moonshotai/kimi-dev-72b: 131072 tokens
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    moonshotai/kimi-k2-0905: 262144 tokens
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    openai/codex-mini: 200000 tokens    
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    openai/gpt-5-codex: 400000 tokens    
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    openai/gpt-5-pro: 400000 tokens    
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    openai/gpt-oss-120b: 131072 tokens  
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    openai/gpt-oss-20b: 131072 tokens  
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    openai/o4-mini-high: 200000 tokens    
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    qwen/qwen3-235b-a22b: 40960 tokens  
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    qwen/qwen3-235b-a22b-2507: 262144 tokens
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    qwen/qwen3-235b-a22b-thinking-2507: 262144 tokens  
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    qwen/qwen3-coder: 262144 tokens
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    qwen/qwen3-coder-flash: 128000 tokens
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    qwen/qwen3-coder-plus: 128000 tokens
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    qwen/qwen3-max: 256000 tokens
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    qwen/qwen3-vl-235b-a22b-instruct: 131072 tokens    
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    qwen/qwen3-vl-235b-a22b-thinking: 65536 tokens    
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    x-ai/grok-4: 256000 tokens    
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    x-ai/grok-4-fast: 2000000 tokens    
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    x-ai/grok-code-fast-1: 256000 tokens  
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    z-ai/glm-4.5-air: 131072 tokens  
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    z-ai/glm-4.5v: 65536 tokens    
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    z-ai/glm-4.6: 202752 tokens  

Bear in mind, local AI models are not listed here due to the lack of standardization. Depending on your hardware (and your level of patience), you may be running larger models than someone on a less powerful machine. Also, you may have a penchant for a specific AI model provider and want to use their models.