Model comparison
Gemini 2.5 Flash-Lite vs Mixtral 8x7B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 27.1 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and Mixtral 8x7B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 34.2.
- The biggest single-benchmark swing is Omni-MATH: 48% for Gemini 2.5 Flash-Lite and 10.5% for Mixtral 8x7B.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Mixtral 8x7B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.0 | 27.1 |
| Released | 2025-06-17 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 32K |
| Max output | 66K | 32K |
| Input $ / M tokens | $0.10 | $0.70 |
| Output $ / M tokens | $0.40 | $0.70 |
| Results tracked | 33 | 38 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1373 | 1126 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Mixtral 8x7B: —
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1115 |
| DTBench | 62.8% | 49.6% |
| Epoch Capabilities Index | 133.94 | 118.47 |
| Kagi LLM Benchmark | 40.5% | — |
| LMCA | 18.1% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 48% | 10.5% |
| LMArena Math | 1373 | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| MMLU-Pro | 53.7% | 33.5% |
| GPQA (HELM) | 30.9% | 29.6% |
| LMArena Expert | 1373 | 1088 |
| GPQA Diamond | — | 30.6% |
| Vectara Hallucination Rate | 3.3% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Mixtral 8x7B: —
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1369 | 1077 |
| LMArena Chinese | 1404 | 1055 |
| LMArena French | 1388 | 1166 |
| LMArena German | 1389 | 1114 |
| LMArena Japanese | 1359 | 931 |
| LMArena Korean | 1360 | 968 |
| LMArena Russian | 1373 | 1090 |
| LMArena Spanish | 1396 | 1111 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| IFEval | 81% | 57.5% |
| LMArena Instruction Following | 1367 | 1109 |
Long Context Too close to call
Gemini 2.5 Flash-Lite: 33.3 (#262), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1373 | 1103 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Gemini 2.5 Flash-Lite | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1379 | 1132 |
| LMArena Creative Writing | 1367 | 1109 |
| WildBench | 81.8% | 67.3% |
| LMArena Multi-Turn | 1366 | 1115 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Mixtral 8x7B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 27.1 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Mixtral 8x7B?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Gemini 2.5 Flash-Lite or Mixtral 8x7B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 32K.
How many benchmarks do Gemini 2.5 Flash-Lite and Mixtral 8x7B share?
24 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mixtral 8x7B has 38.