1,979 models

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azure_ai/claude-haiku-5-5 1M context $0.1/M input $0.5/M output

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github_copilot/claude-fable-5 200K context Input not listed Output not listed

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github_copilot/claude-fable-5.1 200K context Input not listed Output not listed

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github_copilot/claude-haiku-5.5 128K context $0.1/M input $0.5/M output

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github_copilot/claude-opus-4.8 200K context Input not listed Output not listed

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github_copilot/claude-opus-4.8-fast 200K context Input not listed Output not listed

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github_copilot/claude-opus-5 200K context Input not listed Output not listed

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github_copilot/claude-opus-5.5 200K context Input not listed Output not listed

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github_copilot/claude-sonnet-5 200K context Input not listed Output not listed

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github_copilot/claude-sonnet-5.5 200K context Input not listed Output not listed

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github_copilot/gemini-3.7-flash 200K context Input not listed Output not listed

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github_copilot/gemini-3.8-flash 200K context Input not listed Output not listed

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github_copilot/gpt-5.4 272K context Input not listed Output not listed

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github_copilot/kimi-k3 917.504K context Input not listed Output not listed

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the...

scaledown/extract 1M context $0.04/M input Output not listed

Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...

scaledown/summarize 1M context $0.04/M input Output not listed

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

meta/muse-wonder 1.04858M context $4/M input $20/M output

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coralbricks/deepseek-v4.1-flash 1.04858M context $0.01/M input $1.2/M output

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azure_ai/claude-fable-5-5 1M context $10/M input $50/M output

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

google/gemini-4-argon:batch 1.04858M context $1/M input $5/M output

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tencent/deepseek-v4.1-flash 1M context $0.3/M input $1.2/M output

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tencent/glm-5.3-flashx 1M context $0.37/M input $1.25/M output

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tencent/glm-5.3-flash 1M context $0.15/M input $0.5/M output

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gemini/gemini-4-argon 1.04858M context $2/M input $10/M output

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vertex_ai/gemini-4-argon 1.04858M context $2/M input $10/M output

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github_copilot/gemini-4-argon 200K context $2/M input $10/M output

This model always redirects to the latest model in the Pareto family.

~unbiased/pareto-latest 1.04858M context $0.8/M input $3.2/M output

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

unbiased/pareto-26.9 262.144K context $2.5/M input $7.5/M output

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scx-ai/deepseek-v4.1-flash 1M context $0.15/M input $0.6/M output

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

nvidia/nemotron-3.5-super-vl 262.144K context $0.15/M input $0.5/M output