Model comparison
Gemini 3.8 Flash vs Mistral Large 3
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.0× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
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Mistral AISummary
- They share 21 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 15.2.
- The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.8 Flash and 7.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.8 Flash.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Mistral Large 3 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 61.8 | 39.1 |
| Released | 2026-09-02 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.75 | $0.25 |
| Output $ / M tokens | $3.75 | $0.75 |
| Results tracked | 50 | 24 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Mistral Large 3: 34.4 (#237)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1584 | 1230 |
| LMArena Coding | 1510 | 1448 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | 84.8% | — |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Not comparable
Gemini 3.8 Flash: 41.8 (#21), Mistral Large 3: —
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Mistral Large 3: 15.2 (#319)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| NYT Connections (extended) | 97.4% | 7.5% |
| LMArena Hard Prompts | 1508 | 1429 |
| ARC-AGI-2 | 89.2% | — |
| Kagi LLM Benchmark | — | 50.9% |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| Thematic Generalization | — | 23% |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| Epoch Capabilities Index | 156.71 | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Mistral Large 3: 38.7 (#129)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1528 | 1414 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 48% | — |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Mistral Large 3: 36.0 (#177)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1524 | 1421 |
| GPQA Diamond | 95.4% | — |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| Vectara Hallucination Rate | — | 14.5% |
Multimodal Gemini 3.8 Flash leads
Gemini 3.8 Flash: 40.7 (#45), Mistral Large 3: 38.2 (#66)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1314 | 1221 |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), Mistral Large 3: 52.5 (#84)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1491 | 1413 |
| LMArena Chinese | 1554 | 1447 |
| LMArena French | 1498 | 1455 |
| LMArena German | 1493 | 1437 |
| LMArena Japanese | 1502 | 1394 |
| LMArena Korean | 1459 | 1384 |
| LMArena Russian | 1515 | 1411 |
| LMArena Spanish | 1485 | 1440 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Mistral Large 3: 74.0 (#108)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1490 | 1403 |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Mistral Large 3: 43.1 (#105)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1508 | 1413 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Mistral Large 3: 60.0 (#101)
| Benchmark | Gemini 3.8 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1499 | 1428 |
| LMArena Creative Writing | 1492 | 1386 |
| EQ-Bench Creative Writing | 1748 | 1412 |
| LMArena Multi-Turn | 1501 | 1429 |
Frequently asked questions
Is Gemini 3.8 Flash better than Mistral Large 3?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.0× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.8 Flash 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 3.8 Flash lists at $0.75 and $3.75.
Is Gemini 3.8 Flash or Mistral Large 3 better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.8 Flash and Mistral Large 3 share?
21 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Mistral Large 3 has 24.