Model comparison
Gemini 2.0 Flash (Feb 2025) vs Mixtral 8x22B
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 27.1 on the Noometry Index.
Last verified . 30 shared benchmarks.
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Mistral AISummary
- They share 30 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 8 categories and Mixtral 8x22B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.0 Flash (Feb 2025) leads 32.0 to 15.1.
- The biggest single-benchmark swing is MATH Level 5: 82.2% for Gemini 2.0 Flash (Feb 2025) and 24.2% for Mixtral 8x22B.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 35.1 | 27.1 |
| Released | 2024-12-06 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 64K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 54 | 34 |
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Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| WeirdML | 25.8% | 3.2% |
| BigCodeBench Instruct | 45.9% | 40.6% |
| LMArena Coding | 1350 | 1166 |
| BigCodeBench Complete | 59.9% | 50.2% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LiveBench Coding | 63.4% | — |
| CadEval | 30% | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| TheAgentCompany | 11.4% | — |
| Cybench | — | 7.5% |
Reasoning Mixtral 8x22B leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1150 |
| DTBench | 63.2% | 55.1% |
| Epoch Capabilities Index | 135.36 | 122.03 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| ForecastBench | — | 56.3 |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 45.9% | 16.3% |
| LMArena Math | 1352 | 1184 |
| MATH Level 5 | 82.2% | 24.2% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 75.8% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 64.1% | 34.1% |
| MMLU-Pro | 73.7% | 46% |
| GPQA (HELM) | 55.6% | 33.4% |
| LMArena Expert | 1339 | 1113 |
| MMLU | 79.7% | 77.8% |
| Humanity's Last Exam | 6.6% | — |
| Confabulations | 12.4% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Mixtral 8x22B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1342 | 1128 |
| LMArena Chinese | 1373 | 1116 |
| LMArena French | 1391 | 1166 |
| LMArena German | 1353 | 1141 |
| LMArena Japanese | 1294 | 1037 |
| LMArena Korean | 1313 | 1057 |
| LMArena Russian | 1351 | 1158 |
| LMArena Spanish | 1363 | 1151 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| IFEval | 84.1% | 72.4% |
| LMArena Instruction Following | 1336 | 1147 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1344 | 1144 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1354 | 1162 |
| LMArena Creative Writing | 1340 | 1141 |
| WildBench | 80% | 71.1% |
| LMArena Multi-Turn | 1350 | 1130 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Mixtral 8x22B?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 27.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Mixtral 8x22B better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.4 versus 24.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Mixtral 8x22B share?
30 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Mixtral 8x22B has 34.