Compare / Devstral Small 2 vs EuroLLM 22B Instruct
Devstral Small 2 vs EuroLLM 22B Instruct
Updated November 2026
Verdict
Devstral Small 2 scores higher on the Small LM Index: 37.3 vs 22.4. On the 2 benchmarks both labs report, Devstral Small 2 wins 2 and EuroLLM 22B Instruct wins 0. Both need about 16.9 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Devstral Small 2 if…
- you want the strongest model overall
- 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
| Devstral Small 2 | EuroLLM 22B Instruct | |
|---|---|---|
| Small LM Index | 37.3 (likely 34–40) | 22.4 (likely 18–28) |
| Lab | Mistral AI · Europe | EuroLLM (UTTER consortium) · Europe |
| Released | 2025-12-09 | 2025-12-05 |
| Parameters | 24B (dense) | 22.6B (dense) |
| Memory at 4-bit | ~16.9 GB | ~16.5 GB |
| Context window | 256K tokens | 32K tokens |
| Input | text, image | text |
| Reasoning | No thinking | No thinking |
| License | Apache-2.0 | Apache-2.0 |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 123.7K | 8.4K |
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 | Devstral Small 2 | EuroLLM 22B Instruct |
|---|---|---|
| MMLU-Pro Knowledge | 67.8✓ | 50.9 |
| GPQA Diamond Knowledge | 53.2✓ | 26.8 |
| Humanity's Last Exam Reasoning | 3.5✓ | ≈ 4 |
| AIME Math | 34.3✓ | ≈ 10 |
| LiveCodeBench Coding | 34.8✓ | ≈ 13 |
| SWE-bench Verified Coding | 68.0 | ≈ 32 |
| Terminal-Bench Agentic | 22.5* | — |
| τ²-Bench Agentic | 23.4✓ | — |
| IFBench Instruction following | 31.2✓ | — |
| MMLU Knowledge | — | 69.8 |
| Multilingual MMLU Multilingual | — | 64.1 |
| IFEval Instruction following | — | 67.2 |
| MATH-500 Math | — | 54.5 |
| AA-LCR Long context | 28.0✓ | — |
| SciCode Coding | 32.4✓ | — |
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, Devstral Small 2 or EuroLLM 22B Instruct?
Devstral Small 2 scores higher on the Small LM Index: 37.3 vs 22.4. On the 2 benchmarks both labs report, Devstral Small 2 wins 2 and EuroLLM 22B Instruct wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 16.9 GB of memory at 4-bit quantization.
Which has the longer context window?
Devstral Small 2 has the longer context window: 256K tokens against 32K.
Can I use Devstral Small 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.
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