# Gemini 2.0 Flash-Lite vs Mistral Large

> Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-lite-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash-Lite leads 34.1 to 18.2.
- The biggest single-benchmark swing is LiveBench Math: 58.1% for Gemini 2.0 Flash-Lite and 42.5% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 37.8 | 31.9 |
| Rank | 194 | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash-Lite: 37.9 (#185)
- Mistral Large: 34.3 (#240)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LiveBench Coding | 47.1% | 47.1% |
| LMArena Coding | 1322 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Gemini 2.0 Flash-Lite: —
- Mistral Large: 28.6 (#89)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Gemini 2.0 Flash-Lite: 22.0 (#210)
- Mistral Large: 15.8 (#310)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LiveBench Reasoning | 50.1% | 43.5% |
| LMArena Hard Prompts | 1324 | 1257 |
| DTBench | 52.5% | 65.1% |
| LiveBench Data Analysis | 65.5% | 50.1% |
| ForecastBench | 57.1 | 57.1 |
| LiveBench | 54.3% | 48.4% |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |

## Math

- Gemini 2.0 Flash-Lite: 34.1 (#196)
- Mistral Large: 18.2 (#291)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| Omni-MATH | 37.4% | 28.1% |
| LiveBench Math | 58.1% | 42.5% |
| LMArena Math | 1309 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Gemini 2.0 Flash-Lite: 35.0 (#189)
- Mistral Large: 30.1 (#230)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| MMLU-Pro | 72% | 59.9% |
| GPQA (HELM) | 50% | 43.5% |
| LMArena Expert | 1305 | 1232 |
| GPQA Diamond | — | 51.3% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| MMLU | — | 80% |

## Multimodal

- Gemini 2.0 Flash-Lite: 31.2 (#109)
- Mistral Large: —

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Vision | 1100 | — |

## Multilingual

- Gemini 2.0 Flash-Lite: 46.0 (#161)
- Mistral Large: 40.0 (#219)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Non-English | 1323 | 1237 |
| LMArena Chinese | 1339 | 1240 |
| LMArena French | 1347 | 1325 |
| LMArena German | 1306 | 1254 |
| LMArena Japanese | 1301 | 1188 |
| LMArena Korean | 1325 | 1202 |
| LMArena Russian | 1328 | 1257 |
| LMArena Spanish | 1313 | 1268 |

## Instruction Following

- Gemini 2.0 Flash-Lite: 70.4 (#163)
- Mistral Large: 67.9 (#191)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 78.3% | 67.9% |
| IFEval | 82.4% | 87.7% |
| LMArena Instruction Following | 1305 | 1249 |

## Long Context

- Gemini 2.0 Flash-Lite: 40.1 (#160)
- Mistral Large: 38.3 (#199)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1320 | 1261 |

## Writing & Preference

- Gemini 2.0 Flash-Lite: 51.7 (#177)
- Mistral Large: 40.7 (#242)

| Benchmark | Gemini 2.0 Flash-Lite | Mistral Large |
|---|---|---|
| LMArena Text | 1330 | 1266 |
| LMArena Creative Writing | 1319 | 1243 |
| WildBench | 79% | 80.1% |
| LMArena Multi-Turn | 1307 | 1260 |
| LiveBench Language | 34.3% | 39.4% |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |

## FAQ

### Is Gemini 2.0 Flash-Lite better than Mistral Large?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 31.9 on the Noometry Index.

### Is Gemini 2.0 Flash-Lite or Mistral Large better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 34.3 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash-Lite and Mistral Large share?

31 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Mistral Large has 51.