1,436 models

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xai/grok-4.20-multi-agent-0309 1M context $1.25/M input $2.5/M output

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anthropic/claude-mythos-preview 1M context $10/M input $50/M output

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github_copilot/gpt-4o 64K context Input not listed Output not listed

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github_copilot/gpt-4o-2024-05-13 64K context Input not listed Output not listed

This model always redirects to the latest model in the GPT Astra family.

~openai/gpt-astra-latest 1.05M context $10/M input $50/M output

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

openai/o1:batch 200K context $7.5/M input $30/M output

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github_copilot/gpt-4o-2024-11-20 64K context Input not listed Output not listed

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github_copilot/gpt-5 128K context Input not listed Output not listed

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github_copilot/gpt-5-mini 128K context Input not listed Output not listed

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

google/gemini-3.8-flash:batch 1.04858M context $0.375/M input $1.875/M output

This model always redirects to the latest model in the GPT Luna family.

~openai/gpt-luna-latest 1.05M context $0.2/M input $1.2/M output

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

thinkingmachines/inkling:free 1.04858M context Free input Free output

This model always redirects to the latest model in the GPT Sol family.

~openai/gpt-sol-latest 1.05M context $2/M input $10/M output

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gmi/openai/gpt-4o-mini 131.072K context $0.15/M input $0.6/M output

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

google/gemini-3.5-flash:batch 1.04858M context $0.75/M input $4.5/M output

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

google/gemini-3.1-flash-lite:batch 1.04858M context $0.125/M input $0.75/M output

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

openai/o1-pro:batch 200K context $75/M input $300/M output

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

inclusionai/ling-3.0-flash-vl 131.072K context $0.06/M input $0.18/M output

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

meta/muse-spark-1.2-contributor 1.04858M context $0.1/M input $0.2/M output

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

openai/gpt-4.1-mini:batch 1.04758M context $0.2/M input $0.8/M output

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

meta-llama/llama-3.2-11b-vision-instruct 131.072K context $0.345/M input $0.345/M output

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

openai/gpt-5.5-pro:batch 1.05M context $15/M input $90/M output