Compare / Hunyuan 7B Instruct vs OLMo 3 7B Think
Hunyuan 7B Instruct vs OLMo 3 7B Think
Updated November 2026
Verdict
Hunyuan 7B Instruct scores higher on the Small LM Index: 52.5 vs 43.4, although their likely ranges overlap, so the lead is not certain. On the 2 benchmarks both labs report, Hunyuan 7B Instruct wins 2 and OLMo 3 7B Think wins 0. Both need about 7.8 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 need math and reasoning
- you work with long documents
Pick OLMo 3 7B Think if…
- you need a permissive license (Apache-2.0)
- you want the more widely used model (more quantized builds and community support)
Specifications
| Hunyuan 7B Instruct | OLMo 3 7B Think | |
|---|---|---|
| Small LM Index | 52.5 (likely 48–57) | 43.4 (likely 39–48) |
| Lab | Tencent (Hunyuan) · China | Ai2 (OLMo) · United States |
| Released | 2025-08-04 | 2025-11-20 |
| Parameters | 7.5B (dense) | 7.3B (dense) |
| Memory at 4-bit | ~6.3 GB | ~7.8 GB |
| Context window | 256K tokens | 64K tokens |
| Input | text | text |
| Reasoning | Hybrid (thinking on/off) | Always thinks |
| License | Tencent Hunyuan Community | Apache-2.0 |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 9.6K | 94.8K |
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 | OLMo 3 7B Think |
|---|---|---|
| GPQA Diamond Knowledge | 60.1 | 46.2 |
| AIME Math | 75.3 | 64.6 |
| LiveCodeBench Coding | 57.0 | ≈ 49 |
| IFBench Instruction following | — | 41.6 |
| MMLU Knowledge | — | 77.8 |
| IFEval Instruction following | — | 88.2 |
| 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 OLMo 3 7B Think?
Hunyuan 7B Instruct scores higher on the Small LM Index: 52.5 vs 43.4, although their likely ranges overlap, so the lead is not certain. On the 2 benchmarks both labs report, Hunyuan 7B Instruct wins 2 and OLMo 3 7B Think wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 7.8 GB of memory at 4-bit quantization.
Which has the longer context window?
Hunyuan 7B Instruct has the longer context window: 256K tokens against 64K.
Can I use Hunyuan 7B Instruct and OLMo 3 7B Think commercially?
Hunyuan 7B Instruct is released under Tencent Hunyuan Community and OLMo 3 7B Think under Apache-2.0. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.