Model comparison
Gemini 2.5 Pro vs Magistral Medium
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 34.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
Google
Mistral AISummary
- They share 22 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and Magistral Medium in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 55.8 to 32.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 16.2% for Magistral Medium.
- Magistral Medium is cheaper at $2 / $5 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 Medium has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Magistral Medium | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 44.9 | 34.8 |
| Released | 2025-03-25 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 16K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $10 | $5 |
| Results tracked | 78 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.8 (#86), Magistral Medium: 38.6 (#161)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| SciCode | 42.8% | 39.2% |
| LMArena Coding | 1452 | 1319 |
| 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% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.1 (#81), Magistral Medium: —
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| 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 (#85), Magistral Medium: 8.7 (#342)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 4.9% | 0% |
| Kagi LLM Benchmark | 70.3% | 16.2% |
| ARC-AGI-1 | 41% | 6.1% |
| CritPt | 2% | 0.3% |
| LMArena Hard Prompts | 1455 | 1267 |
| SimpleBench | 62.4% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Too close to call
Gemini 2.5 Pro: 31.9 (#191), Magistral Medium: 32.4 (#187)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Math | 1450 | 1249 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| 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: 55.8 (#41), Magistral Medium: 32.9 (#199)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Expert | 1452 | 1222 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 44.5 (#16), Magistral Medium: —
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.5 (#30), Magistral Medium: 39.8 (#219)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1452 | 1232 |
| LMArena Chinese | 1507 | 1225 |
| LMArena French | 1473 | 1268 |
| LMArena German | 1487 | 1248 |
| LMArena Japanese | 1462 | 1176 |
| LMArena Korean | 1435 | 1125 |
| LMArena Russian | 1460 | 1224 |
| LMArena Spanish | 1473 | 1269 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.2 (#71), Magistral Medium: 66.2 (#207)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1436 | 1254 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.7 (#5), Magistral Medium: 39.3 (#178)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1449 | 1295 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.9 (#60), Magistral Medium: 46.5 (#214)
| Benchmark | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| LMArena Text | 1458 | 1255 |
| LMArena Creative Writing | 1453 | 1245 |
| LMArena Multi-Turn | 1453 | 1275 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Magistral Medium?
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 34.8 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or Magistral Medium?
Magistral Medium is cheaper. It lists at $2 per million input tokens and $5 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Magistral Medium better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.8 versus 38.6 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 Medium share?
22 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Magistral Medium has 22.