| Mode | Model | Provider | Status | Capability | Notes | About |
| --- | --- | --- | --- | --- | --- | --- |
| GPT | [`ollama`](https://ollama.com/) | SelfHosted | active | vision`?` | | Self-hosted models using [`ollama`](https://ollama.com/); will search for `OLLAMA_HOST` environment variable |
| GPT | [`LiteLLM`](https://github.com/BerriAI/litellm) | SelfHosted | active | vision`?` | | Proxy Server to LLM APIs in OpenAI format. [`LiteLLM Proxy Server`](https://docs.litellm.ai/docs/#litellm-proxy-server-llm-gateway); will search for `LITELLM_URL` and `LITELLM_API_KEY` environment variable |
| GPT | [`chatgpt-4o-latest`](https://platform.openai.com/docs/models/gpt-4o) | OpenAI | active | vision |  | OpenAI's ChatGPT-4o points to the GPT-4o snapshot currently used in ChatGPT. GPT-4o is their versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs. It is the best model for most tasks, and is their most capable model outside of their o-series models. |
| GPT | [`gemini-1.5-flash`](https://ai.google.dev/gemini-api/docs/models#gemini-1.5-flash) | GoogleAI | deprecated | vision | as of Aug 2025 | Google's fast and versatile performance across a diverse variety of tasks |
| GPT | [`gemini-1.5-flash-8b`](https://ai.google.dev/gemini-api/docs/models#gemini-1.5-flash-8b) | GoogleAI | deprecated | vision | as of Aug 2025 | Google's fast and versatile performance across a diverse variety of tasks |
| GPT | [`gemini-1.5-pro`](https://ai.google.dev/gemini-api/docs/models#gemini-1.5-pro) | GoogleAI | deprecated | vision | as of Aug 2025 | Google model for complex reasoning tasks requiring more intelligence |
| GPT | [`gemini-2.0-flash`](https://ai.google.dev/gemini-api/docs/models#gemini-2.0-flash) | GoogleAI | active | vision |  | Google model with next generation features, speed, and multimodal generation for a diverse variety of tasks |
| GPT | [`gemini-2.0-flash-lite`](https://ai.google.dev/gemini-api/docs/models#gemini-2.0-flash-lite) | GoogleAI | active | vision |  | Google model that reasons over the most complex problems, Show the thinking process of the model, Tackle difficult code and math problems |
| GPT | [`gemini-2.5-flash`](https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash) | GoogleAI | active | vision |  | Google's best model in terms of price-performance, offering well-rounded capabilities. Gemini 2.5 Flash rate limits are more restricted since it is an experimental / preview model |
| GPT | [`gemini-2.5-flash-lite`](https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-lite) | GoogleAI | active | vision |  | Google's Gemini 2.5 Flash model optimized for cost efficiency and high throughput. |
| GPT | [`gemini-2.5-flash-lite-preview-06-17`](https://ai.google.dev/gemini-api/docs/models#gemini-2.5-flash-lite) | GoogleAI | deprecated | vision | as of Aug 2025 | Google's Gemini 2.5 Flash model optimized for cost efficiency and low latency. |
| GPT | [`gemini-2.5-pro`](https://ai.google.dev/gemini-api/docs/models#gemini-2.5) | GoogleAI | active | vision |  | Google's state-of-the-art thinking model, capable of reasoning over complex problems in code, math, and STEM, as well as analyzing large datasets, codebases, and documents using long context. |
| GPT | [`gpt-4.1`](https://platform.openai.com/docs/models/gpt-4.1) | OpenAI | active | vision |  | OpenAI's flagship model for complex tasks. It is well suited for problem solving across domains. |
| GPT | [`gpt-4.1-mini`](https://platform.openai.com/docs/models/gpt-4.1-mini) | OpenAI | active | vision |  | OpenAI's GPT-4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases. |
| GPT | [`gpt-4.1-nano`](https://platform.openai.com/docs/models/gpt-4.1-nano) | OpenAI | active | vision |  | OpenAI's GPT-4.1 nano is the fastest, most cost-effective GPT-4.1 model. |
| GPT | [`gpt-4o`](https://platform.openai.com/docs/models/gpt-4o) | OpenAI | active | vision |  | OpenAI's GPT-4o (“o” for “omni”) is their versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is the best model for most tasks, and is their most capable model outside of their o-series models. |
| GPT | [`gpt-4o-mini`](https://platform.openai.com/docs/models/gpt-4o-mini) | OpenAI | active | vision |  | OpenAI's GPT-4o mini (“o” for “omni”) is a fast, affordable small model for focused tasks. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). |
| GPT | [`gpt-4o-mini-search-preview`](https://platform.openai.com/docs/models/gpt-4o-mini-search-preview) | OpenAI | active | websearch |  | OpenAI's GPT-4o mini Search Preview is a specialized model trained to understand and execute web search queries with the Chat Completions API. In addition to token fees, web search queries have a fee per tool call. |
| GPT | [`gpt-4o-search-preview`](https://platform.openai.com/docs/models/gpt-4o-search-preview) | OpenAI | active | websearch |  | OpenAI's GPT-4o Search Preview is a specialized model trained to understand and execute web search queries with the Chat Completions API. In addition to token fees, web search queries have a fee per tool call. |
| GPT | [`gpt-5`](https://platform.openai.com/docs/models/gpt-5) | OpenAI | active | vision |  | OpenAI's GPT-5 is their flagship model for coding, reasoning, and agentic tasks across domains. |
| GPT | [`gpt-5-chat-latest`](https://platform.openai.com/docs/models/gpt-5-chat-latest) | OpenAI | active | vision |  | OpenAI's GPT-5 Chat points to the GPT-5 snapshot currently used in ChatGPT. GPT-5 is their next-generation, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs. |
| GPT | [`gpt-5-mini`](https://platform.openai.com/docs/models/gpt-5-mini) | OpenAI | active | vision |  | OpenAI's GPT-5-mini is is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts. |
| GPT | [`gpt-5-nano`](https://platform.openai.com/docs/models/gpt-5-nano) | OpenAI | active | vision |  | OpenAI's GPT-5-nano is their fastest, cheapest version of GPT-5. It's great for summarization and classification tasks. |
| GPT | [`o3`](https://platform.openai.com/docs/models/o3) | OpenAI | active |  |  | OpenAI's o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images. |
| GPT | [`o3-deep-research`](https://platform.openai.com/docs/models/o3-deep-research) | OpenAI | active |  |  | OpenAI's o3-deep-research is the most advanced model for deep research, designed to tackle complex, multi-step research tasks. It can search and synthesize information from across the internet |
| GPT | [`o3-mini`](https://platform.openai.com/docs/models/o3-mini) | OpenAI | active |  |  | OpenAI's o3-mini is their newest small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. |
| GPT | [`o3-pro`](https://platform.openai.com/docs/models/o3-mini) | OpenAI | active |  |  | OpenAI's Version of o3 with more compute for better responses |
| GPT | [`o4-mini`](https://platform.openai.com/docs/models/o4-mini) | OpenAI | active |  |  | OpenAI's o4-mini is their latest small o-series model. It's optimized for fast, effective reasoning with exceptionally efficient performance in coding and visual tasks. |
| GPT | [`o4-mini-deep-research`](https://platform.openai.com/docs/models/o4-mini-deep-research) | OpenAI | active |  |  | OpenAI's o4-mini-deep-research is the faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. It can search and synthesize information from across the internet. |
| GPT | [`r1-1776`](https://docs.perplexity.ai/models/models/r1-1776) | PerplexityAI | deprecated |  | as of Aug 2025 | Perplexity's offline AI model that provides uncensored, unbiased responses without relying on real-time search. |
| GPT | [`sonar`](https://docs.perplexity.ai/models/models/sonar) | PerplexityAI | active |  |  | Perplexity's lightweight offering with search grounding, quicker and cheaper than Sonar Pro |
| GPT | [`sonar-deep-research`](https://docs.perplexity.ai/models/models/sonar-deep-research) | PerplexityAI | active |  |  | Perplexity's premier search offering outputs CoT in its response as well with search grounding, supporting advanced queries and follow-ups. |
| GPT | [`sonar-pro`](https://docs.perplexity.ai/models/models/sonar-pro) | PerplexityAI | active |  |  | Perplexity's premier search offering with search grounding, supporting advanced queries and follow-ups. |
| GPT | [`sonar-reasoning`](https://docs.perplexity.ai/models/models/sonar-reasoning) | PerplexityAI | active |  |  | Perplexity's premier search offering outputs Chain-of-Thought (CoT) in its response as well. |
| GPT | [`sonar-reasoning-pro`](https://docs.perplexity.ai/models/models/sonar-reasoning-pro) | PerplexityAI | active |  |  | Perplexity's premier search offering leveraging advanced multi-step Chain-of-Thought (CoT) in its response as well with search grounding, supporting advanced queries and follow-ups. |
| Image | [`dall-e-2`](https://platform.openai.com/docs/models#dall-e) | OpenAI | active |  |  | The previous DALL·E model released in Nov 2022. The maximum prompt length is 1000 characters. |
| Image | [`dall-e-3`](https://platform.openai.com/docs/models#dall-e) | OpenAI | active |  |  | The latest DALL·E model released in Nov 2023. The maximum prompt length is 4000 characters. |
| Image | [`gpt-image-1`](https://platform.openai.com/docs/models#dall-e) | OpenAI | active |  |  | OpenAI's GPT Image 1 is their new state-of-the-art image generation model. |