3,236 models

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azure_ai/gpt-5.4-nano-2026-03-17 272K context $0.2/M input $1.25/M output

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azure/eu/gpt-4o-2024-08-06 128K context $2.75/M input $11/M output

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azure/eu/gpt-4o-2024-11-20 128K context $2.75/M input $11/M output

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azure/eu/gpt-4o-mini-2024-07-18 128K context $0.165/M input $0.66/M output

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azure/eu/gpt-5-2025-08-07 272K context $1.375/M input $11/M output

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azure/eu/gpt-5-mini-2025-08-07 272K context $0.275/M input $2.2/M output

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azure/eu/gpt-5.1 272K context $1.38/M input $11/M output

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azure/eu/gpt-5.1-chat 128K context $1.38/M input $11/M output

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azure/eu/gpt-5-nano-2025-08-07 272K context $0.055/M input $0.44/M output

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azure/eu/o1-2024-12-17 200K context $16.5/M input $66/M output

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azure/eu/o1-mini-2024-09-12 128K context $1.21/M input $4.84/M output

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azure/eu/o1-preview-2024-09-12 128K context $16.5/M input $66/M output

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azure/us-gov/gpt-5.1 272K context $1.719/M input $13.75/M output

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...

inference-net/schematron-v2-small 128K context $0.05/M input $0.23/M output

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azure/us-gov/o3-mini 200K context $1.513/M input $6.05/M output

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azure/eu/o3-mini-2025-01-31 200K context $1.21/M input $4.84/M output

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

inclusionai/ling-3.0-flash-fin:free 262.144K context Free input Free output

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azure/global-standard/gpt-4o-mini 128K context $0.15/M input $0.6/M output

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azure/global/gpt-4o-2024-11-20 128K context $2.5/M input $10/M output

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azure/global/gpt-5.1 272K context $1.25/M input $10/M output

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azure/global/gpt-5.1-chat 128K context $1.25/M input $10/M output

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azure/global/gpt-4o-2024-08-06 128K context $2.5/M input $10/M output

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

google/gemini-2.5-flash-lite:batch 1.04858M context $0.05/M input $0.2/M output