DeepSeek V4 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 DeepSeek V4 Pro and Hunyuan A13B Instruct.
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
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 | DeepSeek V4 Pro | Hunyuan A13B Instruct |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 94/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-07-08 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
Hunyuan A13B Instruct
$0.14
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
Hunyuan A13B Instruct
$0.57
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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.
DeepSeek V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use
Hunyuan A13B Instruct Quirks & Gotchas
No developer gotchas reported.