2,570 models

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inferenceapis/deepseek-v3 1.04858M context $0.19/M input $0.38/M output

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inferenceapis/deepseek-v4-flash 1.04858M context $0.19/M input $0.38/M output

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inferenceapis/deepseek-v4-pro 1.04858M context $1.72/M input $5.15/M output

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inferenceapis/deepseek-v4.1-flash 1.04858M context $0.4/M input $1.6/M output

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inferenceapis/glm-5.3 1.04858M context $1.82/M input $5.72/M output

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inferenceapis/glm-5.3-flash 1.04858M context $0.2/M input $0.66/M output

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inferenceapis/kimi-k2.7-code 262.144K context $0.89/M input $4.42/M output

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inferenceapis/minimax-m3 524.288K context $0.39/M input $1.56/M output

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inferenceapis/minimaxai/minimax-m3 524.288K context $0.39/M input $1.56/M output

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inferenceapis/qwen/qwen3.8-flash 1M context $0.15/M input $0.5/M output

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inferenceapis/qwen3-vl 262.144K context $0.26/M input $1.15/M output

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inferenceapis/qwen3-vl-235b 262.144K context $0.26/M input $1.15/M output

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inferenceapis/qwen3.8-flash 1M context $0.15/M input $0.5/M output

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inferenceapis/zai-org/glm-5.3 1.04858M context $1.82/M input $5.72/M output

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inferenceapis/zai-org/glm-5.3-flash 1.04858M context $0.2/M input $0.66/M output

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oci/xai.grok-4.20-0309-reasoning 1M context $1.25/M input $2.5/M output

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oci/xai.grok-4.20-non-reasoning 1M context $1.25/M input $2.5/M output

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oci/xai.grok-4.20-reasoning 1M context $1.25/M input $2.5/M 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

Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...

xingchen-agi/xing4.0-29b-a4b:free 262.144K context Free input Free output

Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...

elorian/glimpse 262.144K context $0.6/M input $3/M output

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

qwen/qwen3.7-plus:batch 262.144K context $0.23/M input $0.92/M output

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baseten/reflection/beam-1.0 1.04858M context $1.3/M input $4.3/M output

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nebius/reflection/beam 1.04858M context $0.25/M input $1/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

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openinfer/@oi/glm-5.3-flash 393.216K context $0.195/M input $1.56/M output

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github_copilot/claude-sonnet-4.6 200K context $3/M input $15/M output

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github_copilot/grok-4.5 500K context $2/M input $6/M output

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github_copilot/grok-4.6 500K context $2/M input $6/M output

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github_copilot/grok-4.7 500K context $2/M input $6/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