Compare / Hunyuan 7B Instruct vs DeepSeek-R1-Distill-Qwen-7B
Hunyuan 7B Instruct vs DeepSeek-R1-Distill-Qwen-7B
Updated November 2026
Verdict
Hunyuan 7B Instruct scores higher on the Small LM Index: 52.5 vs 39.8. On the 3 benchmarks both labs report, Hunyuan 7B Instruct wins 3 and DeepSeek-R1-Distill-Qwen-7B wins 0. Both need about 6.3 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Hunyuan 7B Instruct if…
- you want the strongest model overall
- you mostly write code
- you need math and reasoning
- you work with long documents
Pick DeepSeek-R1-Distill-Qwen-7B if…
- you need a permissive license (MIT)
- you want the more widely used model (more quantized builds and community support)
Specifications
| Hunyuan 7B Instruct | DeepSeek-R1-Distill-Qwen-7B | |
|---|---|---|
| Small LM Index | 52.5 (likely 48–57) | 39.8 (likely 35–45) |
| Lab | Tencent (Hunyuan) · China | DeepSeek · China |
| Released | 2025-08-04 | 2025-01-20 |
| Parameters | 7.5B (dense) | 7.6B (dense) |
| Memory at 4-bit | ~6.3 GB | ~5.7 GB |
| Context window | 256K tokens | 128K tokens |
| Input | text | text |
| Reasoning | Hybrid (thinking on/off) | Always thinks |
| License | Tencent Hunyuan Community | MIT |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 9.6K | 321.5K |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | Hunyuan 7B Instruct | DeepSeek-R1-Distill-Qwen-7B |
|---|---|---|
| GPQA Diamond Knowledge | 60.1 | 49.1 |
| AIME Math | 75.3 | 55.5 |
| LiveCodeBench Coding | 57.0 | 37.6 |
| BFCL Agentic | 70.8 | — |
| MATH-500 Math | 93.7 | — |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, Hunyuan 7B Instruct or DeepSeek-R1-Distill-Qwen-7B?
Hunyuan 7B Instruct scores higher on the Small LM Index: 52.5 vs 39.8. On the 3 benchmarks both labs report, Hunyuan 7B Instruct wins 3 and DeepSeek-R1-Distill-Qwen-7B wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 6.3 GB of memory at 4-bit quantization.
Which has the longer context window?
Hunyuan 7B Instruct has the longer context window: 256K tokens against 128K.
Can I use Hunyuan 7B Instruct and DeepSeek-R1-Distill-Qwen-7B commercially?
Hunyuan 7B Instruct is released under Tencent Hunyuan Community and DeepSeek-R1-Distill-Qwen-7B under MIT. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.