Model comparison
Gemini 2.5 Flash vs Ministral 8B
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 28.2 on the Noometry Index. Ministral 8B costs 5.7× less per token, which makes it the better buy when Gemini 2.5 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 2.5 Flash scores higher in 8 categories and Ministral 8B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Flash leads 36.4 to 12.6.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 56.2% for Gemini 2.5 Flash and 11.1% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 262K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Ministral 8B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.3 | 28.2 |
| Released | 2025-04-17 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.30 | $0.15 |
| Output $ / M tokens | $2.50 | $0.15 |
| Results tracked | 54 | 17 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash: 35.8 (#220), Ministral 8B: 35.0 (#230)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Coding | 1424 | 1202 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Gemini 2.5 Flash leads
Gemini 2.5 Flash: 30.8 (#74), Ministral 8B: 16.4 (#148)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 56.2% | 11.1% |
| Terminal-Bench | 17.1% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Too close to call
Gemini 2.5 Flash: 18.1 (#286), Ministral 8B: 18.4 (#281)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1191 |
| DTBench | 76.5% | 45.7% |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Ministral 8B: 25.7 (#267)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Math | 1415 | 1188 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| MATH Level 5 | — | 14.9% |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), Ministral 8B: 12.6 (#297)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| Vectara Hallucination Rate | 7.8% | 7.4% |
| LMArena Expert | 1426 | 1170 |
| GPQA Diamond | — | 27.1% |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Ministral 8B: —
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Ministral 8B: 35.1 (#247)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1409 | 1165 |
| LMArena Chinese | 1450 | 1193 |
| LMArena Russian | 1415 | 1195 |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Ministral 8B: 60.5 (#250)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1161 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Ministral 8B: 36.7 (#227)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1419 | 1212 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Ministral 8B: 39.6 (#246)
| Benchmark | Gemini 2.5 Flash | Ministral 8B |
|---|---|---|
| LMArena Text | 1417 | 1191 |
| LMArena Creative Writing | 1400 | 1175 |
| LMArena Multi-Turn | 1408 | 1166 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Ministral 8B?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 28.2 on the Noometry Index. Ministral 8B costs 5.7× less per token, which makes it the better buy when Gemini 2.5 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or Ministral 8B better for coding?
They score almost the same on coding (35.8 vs 35.0); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash and Ministral 8B share?
15 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Ministral 8B has 17.