Model comparison
Gemini 2.5 Flash vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
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Mistral AISummary
- They share 12 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 2 categories and Mistral Large 4 in 6 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 35.8.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
Side by side
| Gemini 2.5 Flash | Mistral Large 4 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.3 | 43.1 |
| Released | 2025-04-17 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.30 | $0.68 |
| Output $ / M tokens | $2.50 | $2.09 |
| Results tracked | 54 | 15 |
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Category by category
Coding Mistral Large 4 leads
Gemini 2.5 Flash: 35.8 (#220), Mistral Large 4: 48.6 (#57)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1424 | 1475 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1541 |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Mistral Large 4: —
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Mistral Large 4 leads
Gemini 2.5 Flash: 18.1 (#286), Mistral Large 4: 22.5 (#192)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1444 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| NYT Connections (extended) | — | 27.4% |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Too close to call
Gemini 2.5 Flash: 39.9 (#98), Mistral Large 4: 40.4 (#91)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1415 | 1488 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Too close to call
Gemini 2.5 Flash: 36.4 (#168), Mistral Large 4: 36.6 (#166)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1426 | 1447 |
| Humanity's Last Exam | 12.1% | — |
| SimpleQA Verified | — | 20% |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Mistral Large 4: —
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Too close to call
Gemini 2.5 Flash: 52.3 (#88), Mistral Large 4: 52.6 (#82)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1409 | 1415 |
| LMArena Chinese | 1450 | 1491 |
| LMArena Russian | 1415 | 1414 |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Too close to call
Gemini 2.5 Flash: 75.7 (#54), Mistral Large 4: 75.0 (#76)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1424 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Mistral Large 4: 43.6 (#89)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1419 | 1429 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Mistral Large 4 leads
Gemini 2.5 Flash: 53.8 (#157), Mistral Large 4: 60.4 (#97)
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1417 | 1427 |
| LMArena Creative Writing | 1400 | 1361 |
| LMArena Multi-Turn | 1408 | 1424 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.3 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Mistral Large 4?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is Gemini 2.5 Flash or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 2.5 Flash and Mistral Large 4 share?
12 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Mistral Large 4 has 15.