Gemma 4 31B vs Hunyuan Pro
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 Gemma 4 31B and Hunyuan Pro.
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Hunyuan Pro
Hunyuan Pro (ๆททๅ 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.
Technical Specifications
| Specification | Gemma 4 31B | Hunyuan Pro |
|---|---|---|
| Provider | Tencent | |
| Context Window | 262,144 tokens | 256,000 tokens |
| Agent Suitability | N/A | 85/100 |
| Time to First Token (TTFT) | N/A | 320 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-02 | 2025-11-01 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
Hunyuan Pro
$0.60
Output Price per Million Tokens
Gemma 4 31B
$0.35
Hunyuan Pro
$1.20
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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.
Gemma 4 31B Quirks & Gotchas
No developer gotchas reported.
Hunyuan Pro Quirks & Gotchas
- โธMassive daily inference volume โ battle-tested at WeChat scale
- โธAPI available through Tencent Cloud โ requires Chinese enterprise account