Model comparison
Gemini 3.8 Flash vs Mistral Small
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 33.4 on the Noometry Index. Mistral Small costs 5.7× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.
Last verified . 25 shared benchmarks.
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Mistral AISummary
- They share 25 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 10 categories and Mistral Small in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 19.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Gemini 3.8 Flash and 5.8% for Mistral Small.
- Mistral Small is cheaper at $0.15 / $0.60 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 Small has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Mistral Small | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 61.8 | 33.4 |
| Released | 2026-09-02 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 256K |
| Input $ / M tokens | $0.75 | $0.15 |
| Output $ / M tokens | $3.75 | $0.60 |
| Results tracked | 50 | 39 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Mistral Small: 34.0 (#247)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| SciCode | 56.6% | 26.5% |
| LMArena Coding | 1510 | 1362 |
| ALE-Bench | 1,270 | 497.62 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| WeirdML | 84.8% | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), Mistral Small: 28.1 (#93)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Berkeley Function Calling Leaderboard | — | 37.1% |
| 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 Small: 19.8 (#250)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| CritPt | 18.3% | 0% |
| LMArena Hard Prompts | 1508 | 1335 |
| DTBench | 95.7% | 70.9% |
| LMCA | 52.9% | 20.6% |
| ARC-AGI-2 | 89.2% | — |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 61% | — |
| LiveBench Reasoning | — | 44.8% |
| Mystery Game Puzzles | 47% | — |
| LiveBench Data Analysis | — | 53.7% |
| Surface Evolver Bench | 76.9% | — |
| Epoch Capabilities Index | 156.71 | — |
| LiveBench | — | 44% |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Mistral Small: 16.4 (#293)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 5.8% |
| LMArena Math | 1528 | 1341 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Mistral Small: 31.0 (#222)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| GPQA Diamond | 95.4% | 47.5% |
| LMArena Expert | 1524 | 1291 |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal Gemini 3.8 Flash leads
Gemini 3.8 Flash: 40.7 (#45), Mistral Small: 33.5 (#96)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| LMArena Vision | 1314 | 1142 |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), Mistral Small: 45.5 (#169)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| LMArena Non-English | 1491 | 1315 |
| LMArena Chinese | 1554 | 1340 |
| LMArena French | 1498 | 1337 |
| LMArena German | 1493 | 1340 |
| LMArena Japanese | 1502 | 1275 |
| LMArena Korean | 1459 | 1259 |
| LMArena Russian | 1515 | 1324 |
| LMArena Spanish | 1485 | 1346 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Mistral Small: 66.4 (#209)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1490 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Mistral Small: 40.4 (#156)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1508 | 1327 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Mistral Small: 52.5 (#171)
| Benchmark | Gemini 3.8 Flash | Mistral Small |
|---|---|---|
| LMArena Text | 1499 | 1338 |
| LMArena Creative Writing | 1492 | 1305 |
| LMArena Multi-Turn | 1501 | 1344 |
| EQ-Bench Creative Writing | 1748 | — |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Gemini 3.8 Flash better than Mistral Small?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 33.4 on the Noometry Index. Mistral Small costs 5.7× 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 Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.
Is Gemini 3.8 Flash or Mistral Small better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 34.0 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 Small share?
25 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Mistral Small has 39.