3,687 models

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bedrock_mantle/google.gemma-4-31b 256K context $0.14/M input $0.4/M output

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bedrock_mantle/google.gemma-4-e2b 128K context $0.04/M input $0.08/M output

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bedrock_mantle/xai.grok-4.3 131.072K context $1.25/M input $2.5/M output

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bedrock/us-east-1/zai.glm-5 200K context $1/M input $3.2/M output

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bedrock/us-west-2/zai.glm-5 200K context $1/M input $3.2/M output

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snowflake/claude-sonnet-4-5 200K context $3/M input $15/M output

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snowflake/claude-sonnet-4-6 200K context $3/M input $15/M output

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snowflake/claude-4-sonnet 200K context $3/M input $15/M output

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snowflake/claude-4-opus 200K context $5/M input $25/M output

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snowflake/claude-haiku-4-5 200K context $1/M input $5/M output

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snowflake/claude-3-7-sonnet 200K context $3/M input $15/M output

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snowflake/openai-gpt-4.1 300K context $2/M input $8/M output

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snowflake/openai-gpt-5 300K context $1.25/M input $10/M output

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snowflake/openai-gpt-5-mini 1M context $0.3/M input $1.2/M output

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snowflake/openai-gpt-5-nano 5M context $0.15/M input $0.6/M output

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snowflake/llama4-maverick 128K context $0.24/M input $0.97/M output

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tensormesh/qwen/qwen3.6-27b-fp8 262.144K context $0.32/M input $3.2/M output

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tensormesh/minimaxai/minimax-m2.5 196.608K context $0.3/M input $1.2/M output

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tensormesh/openai/gpt-oss-120b 131.072K context $0.15/M input $0.6/M output

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tensormesh/openai/gpt-oss-20b 131.072K context $0.07/M input $0.28/M output

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tencent/deepseek-v4-pro 1M context $0.435/M input $0.87/M output

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tencent/deepseek-v4-flash 1M context $0.14/M input $0.28/M output

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pinstripes/ps/glm-4.5-air 128K context $0.125/M input $0.45/M output

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pinstripes/ps/qwen3.6-35b-a3b 131.072K context $0.14/M input $0.45/M output

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pinstripes/ps/qwen3-30b-a3b 131.072K context $0.09/M input $0.2/M output

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pinstripes/ps/qwen3-coder-30b-a3b 131.072K context $0.3/M input $0.6/M output

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pinstripes/ps/deepseek-v4-flash 163.84K context $0.1/M input $0.2/M output

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pinstripes/ps/minimax-m2.7 1.00019M context $0.255/M input $0.55/M output

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darkbloom/gemma-4-26b 131.072K context $0.03/M input $0.165/M output

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darkbloom/gpt-oss-20b 131.072K context $0.015/M input $0.07/M output

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...

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

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

anthropic/claude-opus-5:batch 1M context $2.5/M input $12.5/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:batch 524.288K context $1/M input $4.05/M output

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

openai/gpt-5.6-luna-pro:batch 1.05M context $0.1/M input $0.6/M output

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

openai/gpt-5.6-luna:batch 1.05M context $0.1/M input $0.6/M output

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

openai/gpt-5.6-terra-pro:batch 1.05M context $1/M input $6/M output