4,455 models

GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

openai/gpt-6.1-terra-pro 1.05M context $1/M input $5/M output

GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

openai/gpt-6.1-terra-pro:batch 1.05M context $0.5/M input $2.5/M output

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abliteration/abliterated-model 262.144K context $1/M input $3/M output

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refuseless/glm-5.3-abliterated 1.04858M context $1.25/M input $2.25/M output

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refuseless/deepseek-v4.1-flash-fast 1.04858M context $0.05/M input $0.15/M output

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refuseless/minimax-m3.1-flash 1.04858M context $0.05/M input $0.25/M output

Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...

prism-ml/ternary-bonsai-2-9b 262.144K context $0.08/M input $0.13/M output

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morph/morph-kimik3 1.04858M context $2.5/M input $14/M output

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morph/morph-kimik3-fast 1.04858M context $6/M input $22.5/M output

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morph/morph-glm53-744b 1.04858M context $1.19/M input $6/M output

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morph/morph-glm53flash 1.04858M context $0.2/M input $0.7/M output

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morph/morph-dsv41flash 1.04858M context $0.12/M input $0.8/M output

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morph/morph-dsv41flash-1017 1.04858M context $0.12/M input $0.8/M output

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morph/morph-dsv41flash-abliterated 1.04858M context $0.3/M input $1.2/M output

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morph/morph-dsv4flash 1.04858M context $0.142/M input $0.4/M output

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aiand/deepseek-ai/deepseek-v4-flash 1.04858M context $0.15/M input $0.25/M output

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aiand/deepseek-ai/deepseek-v4-pro 1.04858M context $1/M input $2.5/M output

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aiand/google/gemma-4-31b-it 262.144K context $0.2/M input $0.5/M output

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aiand/moonshotai/kimi-k2.7-code 262.144K context $0.75/M input $3.5/M output

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aiand/moonshotai/kimi-k3 1.04858M context $3/M input $12.5/M output

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aiand/motif-technologies/motif-3 262.144K context $0.5/M input $2/M output

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

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

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aiand/qwen/qwen3.8-27b 262.144K context $0.4/M input $3/M output

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aiand/zai-org/glm-5.2 1.04858M context $1/M input $4/M output

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aiand/zai-org/glm-5.3 1.04858M context $1/M input $4/M output

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aiand/zai-org/glm-5.3-flash 1.04855M context $0.15/M input $0.5/M output

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azure_ai/gpt-6.1-terra 922K context $1/M input $5/M output

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azure/gpt-6.1-terra 922K context $1/M input $5/M output

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azure/us/gpt-6.1-terra 922K context $1.1/M input $5.5/M output

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azure/eu/gpt-6.1-terra 922K context $1.2/M input $6/M output

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azure/apac/gpt-6.1-terra 922K context $1.2/M input $6/M output

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

Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...

particle-ai/particle-1 1.04858M context $0.25/M input $1/M output

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mistral/deepseek-v4-1-flash-1017 1.04858M context $0.3/M input $1.2/M output

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zerogpu/deepseek-v4.1-flash 1.04858M context $0.3/M input $1.2/M output

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zerogpu/glm-5.3-flash 1.04858M context $0.1/M input $0.35/M output