Model comparison
Gemini 2.5 Pro vs Mistral Large 3
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 9.2× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
Google
Mistral AISummary
- They share 22 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 8 categories and Mistral Large 3 in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 36.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 50.9% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 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 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Mistral Large 3 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 45.0 | 39.1 |
| Released | 2025-03-25 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 8K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $10 | $0.75 |
| Results tracked | 78 | 24 |
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: 42.4 (#101), Mistral Large 3: 34.4 (#237)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1227 | 1230 |
| LMArena Coding | 1452 | 1448 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| SciCode | 42.8% | — |
| 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: 29.2 (#88), Mistral Large 3: —
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| 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), Mistral Large 3: 15.2 (#319)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 50.9% |
| LMArena Hard Prompts | 1455 | 1429 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| NYT Connections (extended) | — | 7.5% |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| Thematic Generalization | — | 23% |
| 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 Mistral Large 3 leads
Gemini 2.5 Pro: 32.5 (#213), Mistral Large 3: 38.7 (#129)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1450 | 1414 |
| 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: 56.0 (#46), Mistral Large 3: 36.0 (#177)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | 7% | 14.5% |
| LMArena Expert | 1452 | 1421 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Gemini 2.5 Pro leads
Gemini 2.5 Pro: 45.2 (#18), Mistral Large 3: 38.2 (#66)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1263 | 1221 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Mistral Large 3: 52.5 (#84)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1451 | 1413 |
| LMArena Chinese | 1507 | 1447 |
| LMArena French | 1472 | 1455 |
| LMArena German | 1487 | 1437 |
| LMArena Japanese | 1461 | 1394 |
| LMArena Korean | 1434 | 1384 |
| LMArena Russian | 1461 | 1411 |
| LMArena Spanish | 1473 | 1440 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Mistral Large 3: 74.0 (#108)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1437 | 1403 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Mistral Large 3: 43.1 (#105)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1449 | 1413 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Mistral Large 3: 60.0 (#101)
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1458 | 1428 |
| LMArena Creative Writing | 1454 | 1386 |
| EQ-Bench Creative Writing | 1421 | 1412 |
| LMArena Multi-Turn | 1453 | 1429 |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Mistral Large 3?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 9.2× 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 Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Mistral Large 3 better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Pro and Mistral Large 3 share?
22 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Large 3 has 24.