910 models

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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

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

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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:free 1M context Free input Free output

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azure_ai/claude-opus-5-5-fast 1M context $8/M input $40/M output

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baseten/meta-models/muse-spark-open 1.04858M context $1.25/M input $4.25/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-26.10 1.04858M context $0.8/M input $3.2/M output

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

minimax/minimax-m3.1-flash:free 1M context Free input Free output

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

minimax/minimax-m3.1-flash 1.04858M context $0.15/M input $0.6/M output

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

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

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

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opencode_go/kimi-k3.1-pro 1.04858M context $2/M input $10/M output

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opencode_go/kimi-k3 1.04858M context $3/M input $15/M output

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

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opencode_go/mimo-v2.6-flash 1.04858M context $0.14/M input $0.28/M output

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opencode_go/mimo-v2.6-pro 1.04858M context $0.435/M input $0.87/M output

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opencode_go/mimo-v2.5 1M context $0.14/M input $0.28/M output

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opencode_go/minimax-m3.1-flash 1M context $0.15/M input $0.6/M output

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opencode_go/minimax-m3 1M context $0.3/M input $1.2/M output

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opencode_go/qwen3.8-max 1M context $2/M input $6/M output

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opencode_go/qwen3.8-flash 1M context $0.15/M input $0.47/M output

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opencode_go/qwen3.7-plus 1M context $0.4/M input $1.6/M output

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opencode_go/step-5-preview 1M context $1/M input $2.7/M output