Model comparison
Gemini 2.5 Flash-Lite vs Mistral 7B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 23.0 on the Noometry Index.
Last verified . 18 shared benchmarks.
Google
Mistral AISummary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 8.1.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 42.5% for Mistral 7B.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Mistral 7B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 23.0 |
| Released | 2025-06-17 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 8K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.10 | $0.25 |
| Output $ / M tokens | $0.40 | $0.25 |
| Results tracked | 33 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Mistral 7B: 26.4 (#326)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Coding | 1373 | 1082 |
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 325.9 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral 7B: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral 7B: 13.1 (#336)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1067 |
| DTBench | 62.8% | 42.5% |
| Epoch Capabilities Index | 133.94 | 112.21 |
| Kagi LLM Benchmark | 40.5% | — |
| Chess Puzzles | — | 0% |
| LMCA | 18.1% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral 7B: 8.1 (#325)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Math | 1373 | 1085 |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral 7B: 7.4 (#311)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Expert | 1373 | 1036 |
| GPQA Diamond | — | 15.2% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral 7B: —
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral 7B: 25.8 (#283)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1369 | 1012 |
| LMArena Chinese | 1404 | 1009 |
| LMArena French | 1388 | 1037 |
| LMArena German | 1389 | 987 |
| LMArena Japanese | 1359 | 878 |
| LMArena Russian | 1373 | 1018 |
| LMArena Spanish | 1396 | 1026 |
| LMArena Korean | 1360 | — |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral 7B: 54.2 (#280)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1060 |
| IFEval | 81% | — |
Long Context Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral 7B: 32.2 (#271)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1373 | 1060 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral 7B: 30.7 (#286)
| Benchmark | Gemini 2.5 Flash-Lite | Mistral 7B |
|---|---|---|
| LMArena Text | 1379 | 1090 |
| LMArena Creative Writing | 1367 | 1068 |
| LMArena Multi-Turn | 1366 | 1062 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mistral 7B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 23.0 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Mistral 7B?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral 7B lists at $0.25 and $0.25.
Is Gemini 2.5 Flash-Lite or Mistral 7B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 8K.
How many benchmarks do Gemini 2.5 Flash-Lite and Mistral 7B share?
18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral 7B has 37.