Model comparison
Gemini 3.5 Flash vs Mistral Large 4
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 43.1 on the Noometry Index. Mistral Large 4 costs 3.3× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
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Mistral AISummary
- They share 15 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Mistral Large 4 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 92.6% for Gemini 3.5 Flash and 27.4% for Mistral Large 4.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
Side by side
| Gemini 3.5 Flash | Mistral Large 4 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 54.2 | 43.1 |
| Released | 2026-05-19 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 262K |
| Input $ / M tokens | $1.50 | $0.68 |
| Output $ / M tokens | $9 | $2.09 |
| Results tracked | 54 | 15 |
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Category by category
Coding Too close to call
Gemini 3.5 Flash: 49.4 (#49), Mistral Large 4: 48.6 (#57)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1499 | 1541 |
| LMArena Coding | 1492 | 1475 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.5 Flash: 24.7 (#114), Mistral Large 4: —
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| APEX-Agents | 27.5% | — |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |
Reasoning Gemini 3.5 Flash leads
Gemini 3.5 Flash: 62.8 (#18), Mistral Large 4: 22.5 (#192)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 92.6% | 27.4% |
| LMArena Hard Prompts | 1488 | 1444 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| Chess Puzzles | 50% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 94.7% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| Epoch Capabilities Index | 154.46 | — |
| ForecastBench | 59 | — |
Math Gemini 3.5 Flash leads
Gemini 3.5 Flash: 60.7 (#36), Mistral Large 4: 40.4 (#91)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1504 | 1488 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Gemini 3.5 Flash leads
Gemini 3.5 Flash: 66.3 (#11), Mistral Large 4: 36.6 (#166)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 66.2% | 20% |
| LMArena Expert | 1495 | 1447 |
| GPQA Diamond | 92.8% | — |
Multimodal Not comparable
Gemini 3.5 Flash: 45.7 (#15), Mistral Large 4: —
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
Multilingual Gemini 3.5 Flash leads
Gemini 3.5 Flash: 57.0 (#13), Mistral Large 4: 52.6 (#82)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1476 | 1415 |
| LMArena Chinese | 1526 | 1491 |
| LMArena Russian | 1493 | 1414 |
| LMArena French | 1490 | — |
| LMArena German | 1492 | — |
| LMArena Japanese | 1486 | — |
| LMArena Korean | 1451 | — |
| LMArena Spanish | 1480 | — |
Instruction Following Gemini 3.5 Flash leads
Gemini 3.5 Flash: 77.0 (#30), Mistral Large 4: 75.0 (#76)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1467 | 1424 |
Long Context Gemini 3.5 Flash leads
Gemini 3.5 Flash: 45.4 (#38), Mistral Large 4: 43.6 (#89)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1482 | 1429 |
Writing & Preference Gemini 3.5 Flash leads
Gemini 3.5 Flash: 65.5 (#47), Mistral Large 4: 60.4 (#97)
| Benchmark | Gemini 3.5 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1482 | 1427 |
| LMArena Creative Writing | 1470 | 1361 |
| LMArena Multi-Turn | 1481 | 1424 |
| EQ-Bench 4 | 1087 | — |
Frequently asked questions
Is Gemini 3.5 Flash better than Mistral Large 4?
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 43.1 on the Noometry Index. Mistral Large 4 costs 3.3× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.5 Flash or Mistral Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.
Is Gemini 3.5 Flash or Mistral Large 4 better for coding?
They score almost the same on coding (49.4 vs 48.6); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 3.5 Flash and Mistral Large 4 share?
15 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Mistral Large 4 has 15.