Model comparison
Gemini 2.5 Pro vs Magistral Small
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 30.2 on the Noometry Index. Magistral Small costs 4.6× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 4 categories and Magistral Small in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 30.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 6.3% for Magistral Small.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Magistral Small | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 45.0 | 30.2 |
| Released | 2025-03-25 | 2025-06-10 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 40K |
| Input $ / M tokens | $1.25 | $0.50 |
| Output $ / M tokens | $10 | $1.50 |
| Results tracked | 78 | 10 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Magistral Small: 38.4 (#176)
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| SciCode | 42.8% | 35.2% |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Magistral Small: —
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Magistral Small: 6.8 (#350)
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| ARC-AGI-2 | 4.9% | 0% |
| Kagi LLM Benchmark | 70.3% | 6.3% |
| ARC-AGI-1 | 41% | 5% |
| CritPt | 2% | 0.3% |
| Chess Puzzles | 20% | 3% |
| DTBench | 82.4% | 61.3% |
| Epoch Capabilities Index | 145.32 | 133.19 |
| SimpleBench | 62.4% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Magistral Small: 26.2 (#261)
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 30% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Magistral Small: 30.9 (#223)
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| GPQA Diamond | 85.3% | 56.1% |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Magistral Small: —
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.3 (#31), Magistral Small: —
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| LMArena Non-English | 1451 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1461 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.0 (#75), Magistral Small: —
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.8 (#5), Magistral Small: —
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Not comparable
Gemini 2.5 Pro: 63.7 (#62), Magistral Small: —
| Benchmark | Gemini 2.5 Pro | Magistral Small |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LMArena Multi-Turn | 1453 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Magistral Small?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 30.2 on the Noometry Index. Magistral Small costs 4.6× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or Magistral Small?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Magistral Small better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Pro and Magistral Small share?
10 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Magistral Small has 10.