Model comparison
Gemini 2.5 Pro vs Mistral 7B
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 23.0 on the Noometry Index. Mistral 7B costs 14× 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.
Summary
- They share 22 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 7.4.
- The biggest single-benchmark swing is MATH Level 5: 95.9% for Gemini 2.5 Pro and 3.7% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 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 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Mistral 7B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 45.0 | 23.0 |
| Released | 2025-03-25 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 8K |
| Max output | 66K | 8K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $10 | $0.25 |
| Results tracked | 78 | 37 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Mistral 7B: 26.4 (#326)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| LMArena Coding | 1452 | 1082 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| BigCodeBench Instruct | — | 19.5% |
| LiveBench Coding | 85.9% | — |
| BigCodeBench Complete | — | 27.3% |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Mistral 7B: —
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| 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 7B: 13.1 (#336)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| Chess Puzzles | 20% | 0% |
| LMArena Hard Prompts | 1455 | 1067 |
| DTBench | 82.4% | 42.5% |
| Epoch Capabilities Index | 145.32 | 112.21 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 61.3 | — |
| HellaSwag | — | 81% |
| LiveBench | 82.3% | — |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Mistral 7B: 8.1 (#325)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 0.3% |
| LMArena Math | 1450 | 1085 |
| MATH Level 5 | 95.9% | 3.7% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 54.4% |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Mistral 7B: 7.4 (#311)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| GPQA Diamond | 85.3% | 15.2% |
| LMArena Expert | 1452 | 1036 |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Mistral 7B: —
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Mistral 7B: 25.8 (#283)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1451 | 1012 |
| LMArena Chinese | 1507 | 1009 |
| LMArena French | 1472 | 1037 |
| LMArena German | 1487 | 987 |
| LMArena Japanese | 1461 | 878 |
| LMArena Russian | 1461 | 1018 |
| LMArena Spanish | 1473 | 1026 |
| LMArena Korean | 1434 | — |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Mistral 7B: 54.2 (#280)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1437 | 1060 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Mistral 7B: 32.2 (#271)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1449 | 1060 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Mistral 7B: 30.7 (#286)
| Benchmark | Gemini 2.5 Pro | Mistral 7B |
|---|---|---|
| LMArena Text | 1458 | 1090 |
| LMArena Creative Writing | 1454 | 1068 |
| LMArena Multi-Turn | 1453 | 1062 |
| 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 Mistral 7B?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 23.0 on the Noometry Index. Mistral 7B costs 14× 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 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Mistral 7B better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 8K.
How many benchmarks do Gemini 2.5 Pro and Mistral 7B share?
22 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral 7B has 37.