2,064 models

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openrouter/openai/o3:batch 200K context $1/M input $4/M output

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openrouter/openai/o4-mini:batch 200K context $0.55/M input $2.2/M output

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openrouter/perplexity/sonar 127.072K context $1/M input $1/M output

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openrouter/perplexity/sonar-pro 200K context $3/M input $15/M output

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

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openrouter/qwen/qwen3.8-27b:free 262.144K context Free input Free output

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openrouter/rekaai/reka-edge 16.384K context $0.1/M input $0.1/M output

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openrouter/sakana/fugu-max 1M context $2/M input $6/M output

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openrouter/sakana/fugu-ultra 1M context $5/M input $30/M output

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openrouter/sakana/fugu-ultra-v2 1M context $5/M input $30/M output

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openrouter/sakana/sakana-namazu 262.144K context $0.95/M input $4/M output

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

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openrouter/unbiased/pareto 262.144K context $2.5/M input $7.5/M output

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openrouter/x-ai/grok-4.3:batch 1M context $1/M input $2/M output

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openrouter/z-ai/glm-5.3-flash:batch 1.04858M context $0.075/M input $0.25/M output

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...

prism-ml/ternary-bonsai-2-27b 262.144K context $0.075/M input $0.5/M output

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...

z-ai/glm-5.3-flashx 1.04858M context $0.37/M input $1.25/M output

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dashscope/qwen3.8-flash 991.808K context $0.15/M input $0.47/M output

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dashscope/qwen3.8-omni-flash 991.808K context $0.15/M input $0.47/M output

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qwen_ai_platform/qwen3.8-flash 991.808K context $0.15/M input $0.47/M output

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qwen_ai_platform/qwen3.8-omni-flash 991.808K context $0.15/M input $0.47/M output

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openrouter/z-ai/glm-5.3-flashx 1.04858M context $0.37/M input $1.25/M output

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...

x-ai/grok-4.7 500K context $2/M input $6/M output

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fireworks_ai/glm-5p3-flash 1.04858M context $0.15/M input $0.5/M output

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openrouter/x-ai/grok-4.7 500K context $1.6/M input $4.8/M output

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

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

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

nex-agi/nex-n2.5-mini 262.144K context $0.025/M input $0.1/M output

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

nex-agi/nex-n2.5-pro 262.144K context $0.075/M input $0.25/M output

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

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

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

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xai/grok-4.20-beta 1M context $1.25/M input $2.5/M output

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xai/grok-4.20-beta-0309 1M context $1.25/M input $2.5/M output

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xai/grok-4.20-beta-latest 1M context $1.25/M input $2.5/M output