Gemini 2.5 Pro vs Hunyuan A13B Instruct
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 Gemini 2.5 Pro and Hunyuan A13B Instruct.
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Hunyuan A13B Instruct
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
Technical Specifications
| Specification | Gemini 2.5 Pro | Hunyuan A13B Instruct |
|---|---|---|
| Provider | Tencent | |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2025-07-08 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.5 Pro
$1.25
Hunyuan A13B Instruct
$0.14
Output Price per Million Tokens
Gemini 2.5 Pro
$10.00
Hunyuan A13B Instruct
$0.57
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
Hunyuan A13B Instruct Quirks & Gotchas
No developer gotchas reported.