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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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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...
Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| microsoft/Dayhoff-170M-UR90-HL-28000microsoft/Dayhoff-170M-UR90-HL-28000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-26000microsoft/Dayhoff-170M-UR90-HL-26000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-24000microsoft/Dayhoff-170M-UR90-HL-24000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-22000microsoft/Dayhoff-170M-UR90-HL-22000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-20000microsoft/Dayhoff-170M-UR90-HL-20000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-18000microsoft/Dayhoff-170M-UR90-HL-18000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-14000microsoft/Dayhoff-170M-UR90-HL-14000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-12000microsoft/Dayhoff-170M-UR90-HL-12000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-10000microsoft/Dayhoff-170M-UR90-HL-10000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-6000microsoft/Dayhoff-170M-UR90-HL-6000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-2000microsoft/Dayhoff-170M-UR90-HL-2000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-GRS-76000microsoft/Dayhoff-170M-GRS-76000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-GRS-50000microsoft/Dayhoff-170M-GRS-50000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-GRS-26000microsoft/Dayhoff-170M-GRS-26000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-GRS-112000microsoft/Dayhoff-170M-GRS-112000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-GRS-2000microsoft/Dayhoff-170M-GRS-2000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-GR-1000microsoft/Dayhoff-170M-GR-1000 | Microsoft |
Not documented | — | — | — | ||
| deepseek-ai/DeepSeek-V4-Pro-0813deepseek-ai/DeepSeek-V4-Pro-0813 | DeepSeek |
Not documented | — | — | — | ||
| Google: Gemini 3.7 Flash (batch)google/gemini-3.7-flash:batch | Google |
1.04858M | $0.375 | $1.875 | — | ||
| deepseek-v4-flashdashscope/deepseek-v4-flash | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-flash-0731dashscope/deepseek-v4-flash-0731 | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-prodashscope/deepseek-v4-pro | 1M | $2.4 | $4.8 | — | |||
| glm-5.1dashscope/glm-5.1 | 202.745K | $1.4 | $4.4 | — | |||
| glm-5.2dashscope/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| kimi-k2.7-codedashscope/kimi-k2.7-code | 229.376K | $0.95 | $4 | — | |||
| qwen3.8-maxdashscope/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| nvidia/NVIDIA-Nemotron-3.5-Lightningdeepinfra/nvidia/nvidia-nemotron-3.5-lightning | Deepinfra |
262.144K | $0.05 | $0.2 | — | ||
| gemini-3.7-flashvertex_ai/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| gemini-3.7-flashgemini/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| gemini-3.7-flashvertex_ai-language-models/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| meta-llama/llama-prompt-guard-2-22mgroq/meta-llama/llama-prompt-guard-2-22m | Groq |
512 | $0.03 | $0.03 | — | ||
| meta-llama/llama-prompt-guard-2-86mgroq/meta-llama/llama-prompt-guard-2-86m | Groq |
512 | $0.04 | $0.04 | — | ||
| qwen/qwen3.6-27bgroq/qwen/qwen3.6-27b | Groq |
131.072K | $0.6 | $3 | — | ||
| nvidia/nemotron-3.5-lightningopenrouter/nvidia/nemotron-3.5-lightning | Openrouter |
262.144K | $0.05 | $0.2 | — | ||
| microsoft/Dayhoff-170M-UR90-HL-16000microsoft/Dayhoff-170M-UR90-HL-16000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-8000microsoft/Dayhoff-170M-UR90-HL-8000 | Microsoft |
Not documented | — | — | — | ||
| microsoft/Dayhoff-170M-UR90-HL-4000microsoft/Dayhoff-170M-UR90-HL-4000 | Microsoft |
Not documented | — | — | — | ||
| Qwen/Qwen3.8-27BQwen/Qwen3.8-27B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | Alibaba Qwen |
262.144K | $0.039 | $1.25 | — | ||
| Dots Studio: Dots3-Note Preview (free)dots-studio/dots-3-note-preview:free | 512K | Free | Free | — | |||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-STEMnvidia/NVIDIA-Nemotron-Labs-Teacher-STEM | NVIDIA |
Not documented | — | — | — | ||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Followingnvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Following | NVIDIA |
Not documented | — | — | — | ||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Codingnvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Coding | NVIDIA |
Not documented | — | — | — | ||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-Chatnvidia/NVIDIA-Nemotron-Labs-Teacher-Chat | NVIDIA |
Not documented | — | — | — | ||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-General-Reasoningnvidia/NVIDIA-Nemotron-Labs-Teacher-General-Reasoning | NVIDIA |
Not documented | — | — | — | ||
| FW-DeepSeek-V3.2azure_ai/fw-deepseek-v3.2 | 163.84K | $0.62 | $1.85 | — | |||
| FW-DeepSeek-V4-Proazure_ai/fw-deepseek-v4-pro | 1M | $1.925 | $3.828 | — | |||
| FW-GLM-5azure_ai/fw-glm-5 | 200K | $1.1 | $3.52 | — | |||
| FW-GLM-5.1azure_ai/fw-glm-5.1 | 202.8K | $1.54 | $4.84 | — | |||
| FW-GLM-5.2azure_ai/fw-glm-5.2 | 1.04858M | $1.54 | $4.84 | — |