2,861 models

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azure/o3-2025-04-16 200K context $2/M input $8/M output

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azure/o3-mini 200K context $1.1/M input $4.4/M output

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azure/o3-mini-2025-01-31 200K context $1.1/M input $4.4/M output

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cerebras/gpt-oss-120b 131.072K context $0.35/M input $0.75/M output

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azure/o4-mini 200K context $1.1/M input $4.4/M output

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azure/o4-mini-2025-04-16 200K context $1.1/M input $4.4/M output

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azure/us/gpt-4.1-2025-04-14 1.04758M context $2.2/M input $8.8/M output

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azure/us/gpt-4.1-mini-2025-04-14 1.04758M context $0.44/M input $1.76/M output

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azure/us/gpt-4.1-nano-2025-04-14 1.04758M context $0.11/M input $0.44/M output

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azure/us/gpt-4o-2024-08-06 128K context $2.75/M input $11/M output

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azure/us/gpt-4o-2024-11-20 128K context $2.75/M input $11/M output

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azure/us/gpt-4o-mini-2024-07-18 128K context $0.165/M input $0.66/M output

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azure/us/gpt-5-2025-08-07 272K context $1.375/M input $11/M output

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

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

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azure/us/gpt-5-mini-2025-08-07 272K context $0.275/M input $2.2/M output

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azure/us/gpt-5-nano-2025-08-07 272K context $0.055/M input $0.44/M output

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azure/us/gpt-5.1 272K context $1.38/M input $11/M output

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azure/us/gpt-5.1-chat 128K context $1.38/M input $11/M output

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

deepseek/deepseek-v4-flash-vision-exp:batch 1.04858M context $0.11/M input $0.33/M output

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azure/us/o1-2024-12-17 200K context $16.5/M input $66/M output

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azure/us/o1-mini-2024-09-12 128K context $1.21/M input $4.84/M output

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

thinkingmachines/inkling-small:free 1.04858M context Free input Free output

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azure/us/o1-preview-2024-09-12 128K context $16.5/M input $66/M output

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cerebras/qwen-3-32b 128K context $0.4/M input $0.8/M output

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

openai/o3-mini:batch 200K context $0.55/M input $2.2/M output

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azure/us/o3-2025-04-16 200K context $2.2/M input $8.8/M output

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azure/us/o3-mini-2025-01-31 200K context $1.21/M input $4.84/M output

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azure/us/o4-mini-2025-04-16 200K context $1.21/M input $4.84/M output

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

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

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

qwen/qwen3.8-27b 262.144K context $0.214/M input $2.55/M output

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

inference-net/schematron-v2-turbo 128K context $0.03/M input $0.15/M output

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azure_ai/llama-3.3-70b-instruct 128K context $0.71/M input $0.71/M output

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

qwen/qwen-plus 1M context $0.26/M input $0.78/M output

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azure_ai/phi-3-mini-128k-instruct 128K context $0.13/M input $0.52/M output

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

thinkingmachines/inkling-small:batch 524.288K context $0.5/M input $1.2/M output

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azure_ai/phi-3.5-moe-instruct 128K context $0.16/M input $0.64/M output

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azure_ai/phi-3.5-mini-instruct 128K context $0.13/M input $0.52/M output

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azure_ai/phi-3.5-vision-instruct 128K context $0.13/M input $0.52/M output

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azure_ai/phi-4-mini-instruct 131.072K context $0.075/M input $0.3/M output

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azure_ai/phi-4-multimodal-instruct 131.072K context $0.08/M input $0.32/M output