Hunyuan Pro vs Mistral Large 3 2512
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Hunyuan Pro and Mistral Large 3 2512.
Hunyuan Pro
Hunyuan Pro (混元 Pro) is Tencent's flagship large language model developed by Tencent AI Lab, designed to power AI features across Tencent's vast ecosystem including WeChat, QQ, and enterprise cloud services. It achieves top-tier performance on Chinese-language benchmarks and strong multilingual capabilities, with native support for text, image, and video understanding. Hunyuan Pro is deployed at massive scale across Tencent's advertising, content recommendation, and customer service systems, processing billions of inference requests daily.
Mistral Large 3 2512
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Technical Specifications
| Specification | Hunyuan Pro | Mistral Large 3 2512 |
|---|---|---|
| Provider | Tencent | Mistral |
| Context Window | 256,000 tokens | 262,144 tokens |
| Agent Suitability | 85/100 | N/A |
| Time to First Token (TTFT) | 320 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-11-01 | 2025-12-01 |
API Pricing Comparison
Input Price per Million Tokens
Hunyuan Pro
$0.60
Mistral Large 3 2512
$0.50
Output Price per Million Tokens
Hunyuan Pro
$1.20
Mistral Large 3 2512
$1.50
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Hunyuan Pro Quirks & Gotchas
- ▸Massive daily inference volume — battle-tested at WeChat scale
- ▸API available through Tencent Cloud — requires Chinese enterprise account
Mistral Large 3 2512 Quirks & Gotchas
No developer gotchas reported.