Model comparison
Magistral Small vs Qwen2.5 7B Instruct
Magistral Small is the stronger model overall, scoring 29.9 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 2.4× less per token, which makes it the better buy when Magistral Small's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Magistral Small scores higher in 3 categories and Qwen2.5 7B Instruct in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Magistral Small leads 30.9 to 17.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30% for Magistral Small and 2.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
- Qwen2.5 7B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Magistral Small | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 28.6 |
| Released | 2025-06-10 | 2024-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 40K | 8K |
| Input $ / M tokens | $0.50 | $0.17 |
| Output $ / M tokens | $1.50 | $0.70 |
| Results tracked | 10 | 15 |
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Category by category
Coding Magistral Small leads
Magistral Small: 37.8 (#172), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| SciCode | 35.2% | — |
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Magistral Small: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Qwen2.5 7B Instruct leads
Magistral Small: 6.9 (#345), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | 3% | 0% |
| DTBench | 61.3% | 47.7% |
| Epoch Capabilities Index | 133.19 | 118.44 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 6.3% | — |
| ARC-AGI-1 | 5% | — |
| CritPt | 0.3% | — |
| LMCA | — | 6.4% |
Math Magistral Small leads
Magistral Small: 24.9 (#253), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30% | 2.5% |
| Omni-MATH | — | 29.4% |
Knowledge Magistral Small leads
Magistral Small: 30.9 (#215), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 56.1% | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |
Instruction Following Not comparable
Magistral Small: —, Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
Writing & Preference Not comparable
Magistral Small: —, Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Magistral Small | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |
Frequently asked questions
Is Magistral Small better than Qwen2.5 7B Instruct?
Magistral Small is the stronger model overall, scoring 29.9 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 2.4× less per token, which makes it the better buy when Magistral Small's lead doesn't matter for your workload.
Which is cheaper, Magistral Small or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is Magistral Small or Qwen2.5 7B Instruct better for coding?
Magistral Small scores higher on coding benchmarks: 37.8 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Qwen2.5 7B Instruct does, with 131K tokens against 128K.
How many benchmarks do Magistral Small and Qwen2.5 7B Instruct share?
5 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and Qwen2.5 7B Instruct has 15.