Compare / OLMo 3 7B Think vs MiMo-7B-RL
OLMo 3 7B Think vs MiMo-7B-RL
Updated November 2026
Verdict
OLMo 3 7B Think scores higher on the Small LM Index: 43.4 vs 40.7, although their likely ranges overlap, so the lead is not certain. On the 2 benchmarks both labs report, OLMo 3 7B Think wins 1 and MiMo-7B-RL wins 1. 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 OLMo 3 7B Think if…
- you want the strongest model overall
- you need math and reasoning
- you work with long documents
Pick MiMo-7B-RL if…
No clear advantage in the data we have.
Specifications
| OLMo 3 7B Think | MiMo-7B-RL | |
|---|---|---|
| Small LM Index | 43.4 (likely 39–48) | 40.7 (likely 36–45) |
| Lab | Ai2 (OLMo) · United States | Xiaomi (MiMo) · China |
| Released | 2025-11-20 | 2025-04-30 |
| Parameters | 7.3B (dense) | 7.8B (dense) |
| Memory at 4-bit | ~7.8 GB | ~6.6 GB |
| Context window | 64K tokens | 32K tokens |
| Input | text | text |
| Reasoning | Always thinks | Always thinks |
| License | Apache-2.0 | MIT |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 94.8K | 31.9K |
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 | OLMo 3 7B Think | MiMo-7B-RL |
|---|---|---|
| MMLU-Pro Knowledge | ≈ 68 | 58.6 |
| GPQA Diamond Knowledge | 46.2 | 54.4 |
| AIME Math | 64.6 | 55.4 |
| LiveCodeBench Coding | ≈ 49 | 49.3 |
| IFBench Instruction following | 41.6 | — |
| MMLU Knowledge | 77.8 | — |
| IFEval Instruction following | 88.2 | — |
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, OLMo 3 7B Think or MiMo-7B-RL?
OLMo 3 7B Think scores higher on the Small LM Index: 43.4 vs 40.7, although their likely ranges overlap, so the lead is not certain. On the 2 benchmarks both labs report, OLMo 3 7B Think wins 1 and MiMo-7B-RL wins 1.
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?
OLMo 3 7B Think has the longer context window: 64K tokens against 32K.
Can I use OLMo 3 7B Think and MiMo-7B-RL commercially?
OLMo 3 7B Think is released under Apache-2.0 and MiMo-7B-RL under MIT. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.
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