Compare / Magistral Small 1.2 vs EuroLLM 22B Instruct

Magistral Small 1.2 vs EuroLLM 22B Instruct

Updated November 2026

Verdict

Magistral Small 1.2 scores higher on the Small LM Index: 55.9 vs 19.2. On the 1 benchmark both labs report, Magistral Small 1.2 wins 1 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 Magistral Small 1.2 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

	Magistral Small 1.2	EuroLLM 22B Instruct
Small LM Index	55.9 (likely 51–60)	19.2 (likely 16–24)
Lab	Mistral AI · Europe	EuroLLM (UTTER consortium) · Europe
Released	2025-09-17	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	Always thinks	No thinking
License	Apache-2.0	Apache-2.0
API price / 1M tokens	Self-host only	Self-host only
Hugging Face downloads (30 days)	29.7K	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	Magistral Small 1.2	EuroLLM 22B Instruct
MMLU-Pro Knowledge	≈ 76	50.9
GPQA Diamond Knowledge	70.1	26.8
AIME Math	77.3	≈ 15
LiveCodeBench Coding	70.9	≈ 19
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, Magistral Small 1.2 or EuroLLM 22B Instruct?

Magistral Small 1.2 scores higher on the Small LM Index: 55.9 vs 19.2. On the 1 benchmark both labs report, Magistral Small 1.2 wins 1 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?

Magistral Small 1.2 has the longer context window: 128K tokens against 32K.

Can I use Magistral Small 1.2 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.