Model comparison
Gemini 2.5 Flash-Lite vs Ministral 8B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.2 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Ministral 8B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Flash-Lite leads 32.5 to 12.6.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 36.9% for Gemini 2.5 Flash-Lite and 11.1% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite 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-Lite | Ministral 8B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 28.2 |
| Released | 2025-06-17 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.10 | $0.15 |
| Output $ / M tokens | $0.40 | $0.15 |
| Results tracked | 33 | 17 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Ministral 8B: 35.0 (#230)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Coding | 1373 | 1202 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Ministral 8B: 16.4 (#148)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 11.1% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Ministral 8B: 18.4 (#281)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1191 |
| DTBench | 62.8% | 45.7% |
| Kagi LLM Benchmark | 40.5% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Ministral 8B: 25.7 (#267)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Math | 1373 | 1188 |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 14.9% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Ministral 8B: 12.6 (#297)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 7.4% |
| LMArena Expert | 1373 | 1170 |
| GPQA Diamond | — | 27.1% |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Ministral 8B: —
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Ministral 8B: 35.1 (#247)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1369 | 1165 |
| LMArena Chinese | 1404 | 1193 |
| LMArena Russian | 1373 | 1195 |
| LMArena French | 1388 | — |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Ministral 8B: 60.5 (#250)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1161 |
| IFEval | 81% | — |
Long Context Ministral 8B leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Ministral 8B: 36.7 (#227)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1373 | 1212 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Ministral 8B: 39.6 (#246)
| Benchmark | Gemini 2.5 Flash-Lite | Ministral 8B |
|---|---|---|
| LMArena Text | 1379 | 1191 |
| LMArena Creative Writing | 1367 | 1175 |
| LMArena Multi-Turn | 1366 | 1166 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Ministral 8B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.2 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite 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-Lite lists at $0.10 and $0.40.
Is Gemini 2.5 Flash-Lite or Ministral 8B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 35.0 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash-Lite and Ministral 8B share?
15 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Ministral 8B has 17.