Hunyuan-7B is an AI model published by Tencent ARC, released on 2025-08-04, for Chat model, with 7B parameters, and 256K context length, requiring about 15.07GB storage, with a 93.70 score on MATH-500.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.070/ 1M tokens | $2.80/ 1M tokens |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
Hunyuan-7B currently shows benchmark results led by AIME 2024 (26 / 62, score 81.10), AIME2025 (107 / 215, score 75.30), LiveCodeBench (141 / 250, score 57). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Math and Reasoning
3 evaluationsPublisher
Model Overview
Hunyuan-7B is an AI model published by Tencent ARC, released on 2025-08-04, for Chat model, with 7B parameters, and 256K context length, requiring about 15.07GB storage, with a 93.70 score on MATH-500.
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