Model comparison
Gemini 2.5 Flash-Lite vs Mistral Nemo
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 26.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 28.5.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 48.6% for Mistral Nemo.
- Mistral Nemo 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 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Mistral Nemo | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 26.4 |
| Released | 2025-06-17 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.10 | $0.15 |
| Output $ / M tokens | $0.40 | $0.15 |
| Results tracked | 33 | 10 |
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Category by category
Coding Not comparable
Gemini 2.5 Flash-Lite: 38.5 (#173), Mistral Nemo: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| WeirdML | 35.2% | — |
| LMArena Coding | 1373 | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral Nemo: 23.5 (#125)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 27.6% |
| BALROG | — | 17.6% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral Nemo: 20.7 (#232)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| DTBench | 62.8% | 48.6% |
| Epoch Capabilities Index | 133.94 | 118.68 |
| Kagi LLM Benchmark | 40.5% | — |
| LMArena Hard Prompts | 1377 | — |
| LMCA | 18.1% | — |
| PIQA | — | 83.5% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral Nemo: 25.5 (#268)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral Nemo: 12.3 (#298)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral Nemo: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral Nemo: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral Nemo: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral Nemo: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral Nemo: 28.5 (#296)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral Nemo |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1367 | — |
| EQ-Bench Creative Writing | — | 881 |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1366 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mistral Nemo?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 26.4 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Mistral Nemo?
Mistral Nemo 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.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Flash-Lite and Mistral Nemo share?
3 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral Nemo has 10.