4,220 models

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openrouter/openai/gpt-5.2-chat 128K context $1.75/M input $14/M output

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openrouter/openai/gpt-5.2-pro 272K context $21/M input $168/M output

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openrouter/openai/gpt-oss-120b 131.072K context $0.18/M input $0.8/M output

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openrouter/openai/gpt-oss-20b 131.072K context $0.02/M input $0.1/M output

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openrouter/openai/o1 200K context $15/M input $60/M output

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openrouter/openai/o3-mini 128K context $1.1/M input $4.4/M output

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openrouter/openai/o3-mini-high 128K context $1.1/M input $4.4/M output

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openrouter/qwen/qwen3.6-plus 1M context $0.325/M input $1.95/M output

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together_ai/zai-org/glm-5.3-flash 1.04858M context $0.15/M input $0.5/M output

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openrouter/qwen/qwen3.5-35b-a3b 262.144K context $0.25/M input $2/M output

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zai/glm-5.3 1M context $1.4/M input $4.4/M output

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

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novita/zai-org/glm-5.3 1.04858M context $1.4/M input $4.4/M output

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

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novita/tencent/hy3 262.144K context $0.14/M input $0.58/M output

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novita/zai-org/glm-5.2 1.04858M context $1.4/M input $4.4/M output

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

minimax/minimax-m1 1M context $0.55/M input $2.2/M output

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novita/moonshotai/kimi-k2.7-code 262.144K context $0.95/M input $4/M output

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

x-ai/grok-4.20 2M context $1.25/M input $2.5/M output

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

anthropic/claude-opus-4.7 1M context $5/M input $25/M output

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

qwen/qwen3.5-9b:batch 262.144K context $0.17/M input $0.25/M output

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novita/mindai/macaron-v1-venti 1.04858M context $1.5/M input $4.5/M output

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novita/minimax/minimax-m3 1M context $0.3/M input $1.2/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

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novita/deepseek/deepseek-v4-flash 1.04858M context $0.14/M input $0.28/M output

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novita/deepseek/deepseek-v4-pro 1.04858M context $1.6/M input $3.2/M output

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

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novita/inclusionai/ling-3.0-flash 262.144K context $0.06/M input $0.18/M output

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novita/mindai/macaron-v1-tall 262.144K context $0.45/M input $2.6/M output

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novita/stepfun/step-3.7-flash 262.144K context $0.2/M input $1.15/M output

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

inception/mercury-2 128K context $0.25/M input $0.75/M output

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novita/baidu/cobuddy 131.072K context $0.28/M input $1.13/M output

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novita/xiaomimimo/mimo-v2.5 1.04858M context $0.168/M input $0.336/M output

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novita/qwen/qwen3.7-max 1M context $1.25/M input $3.75/M output

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novita/xiaomimimo/mimo-v2.5-pro 1.04858M context $0.522/M input $1.044/M output

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novita/qwen/qwen3.6-27b 262.144K context $0.6/M input $3.6/M output