Compare / Mistral Small 3.2 vs EuroLLM 22B Instruct
Mistral Small 3.2 vs EuroLLM 22B Instruct
Updated November 2026
Verdict
Mistral Small 3.2 scores higher on the Small LM Index: 38.6 vs 19.2. On the 2 benchmarks both labs report, Mistral Small 3.2 wins 2 and EuroLLM 22B Instruct wins 0. Both need about 16.9 GB of memory at 4-bit quantization. Only Mistral Small 3.2 has a hosted API on OpenRouter ($0.11 per million tokens); the other has to be self-hosted.
Pick Mistral Small 3.2 if…
- you want the strongest model overall
- you want a hosted API rather than running it yourself
- you work with long documents
- you need image input
- you want the more widely used model (more quantized builds and community support)
Pick EuroLLM 22B Instruct if…
No clear advantage in the data we have.
Specifications
| Mistral Small 3.2 | EuroLLM 22B Instruct | |
|---|---|---|
| Small LM Index | 38.6 (likely 29–49) | 19.2 (likely 16–24) |
| Lab | Mistral AI · Europe | EuroLLM (UTTER consortium) · Europe |
| Released | 2025-06-20 | 2025-12-05 |
| Parameters | 24B (dense) | 22.6B (dense) |
| Memory at 4-bit | ~16.9 GB | ~16.5 GB |
| Context window | 128K tokens | 32K tokens |
| Input | text, image | text |
| Reasoning | No thinking | No thinking |
| License | Apache-2.0 | Apache-2.0 |
| API price / 1M tokens | $0.11 ($0.075 in, $0.20 out) | Self-host only |
| Hugging Face downloads (30 days) | 118.9K | 8.5K |
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 | Mistral Small 3.2 | EuroLLM 22B Instruct |
|---|---|---|
| MMLU-Pro Knowledge | 69.1 | 50.9 |
| GPQA Diamond Knowledge | 46.1 | 26.8 |
| MMLU Knowledge | — | 69.8 |
| Multilingual MMLU Multilingual | — | 64.1 |
| IFEval Instruction following | — | 67.2 |
| MATH-500 Math | — | 54.5 |
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, Mistral Small 3.2 or EuroLLM 22B Instruct?
Mistral Small 3.2 scores higher on the Small LM Index: 38.6 vs 19.2. On the 2 benchmarks both labs report, Mistral Small 3.2 wins 2 and EuroLLM 22B Instruct wins 0.
Which is cheaper to run?
Only Mistral Small 3.2 has a hosted API on OpenRouter ($0.11 per million tokens); the other has to be self-hosted. Both need about 16.9 GB of memory at 4-bit quantization.
Which has the longer context window?
Mistral Small 3.2 has the longer context window: 128K tokens against 32K.
Can I use Mistral Small 3.2 and EuroLLM 22B Instruct commercially?
Both are released under the Apache-2.0 license. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.