Model comparison
Gemini 1.5 Flash (May 2024) vs Mixtral 8x22B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 27.1 on the Noometry Index.
Last verified . 33 shared benchmarks.
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Mistral AISummary
- They share 33 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 8 categories and Mixtral 8x22B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Flash (May 2024) leads 48.7 to 36.9.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 24.2% for Mixtral 8x22B.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Mixtral 8x22B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 33.2 | 27.1 |
| Released | 2024-05-14 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 64K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 42 | 34 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| WeirdML | 24.9% | 3.2% |
| BigCodeBench Instruct | 43.5% | 40.6% |
| LMArena Coding | 1261 | 1166 |
| BigCodeBench Complete | 55.1% | 50.2% |
| HumanEval+ | 75.6% | 72% |
| MBPP+ | 67.5% | 64.3% |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1150 |
| DTBench | 53.8% | 55.1% |
| Epoch Capabilities Index | 129.36 | 122.03 |
| ForecastBench | 53.9 | 56.3 |
| PIQA | 87.5% | — |
Math Too close to call
Gemini 1.5 Flash (May 2024): 22.1 (#281), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 30.4% | 16.3% |
| LMArena Math | 1269 | 1184 |
| MATH Level 5 | 61.9% | 24.2% |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 47.3% | 34.1% |
| MMLU-Pro | 67.8% | 46% |
| GPQA (HELM) | 43.7% | 33.4% |
| LMArena Expert | 1233 | 1113 |
| MMLU | 77.9% | 77.8% |
| BoolQ | 85.8% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Mixtral 8x22B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1278 | 1128 |
| LMArena Chinese | 1295 | 1116 |
| LMArena French | 1258 | 1166 |
| LMArena German | 1262 | 1141 |
| LMArena Japanese | 1252 | 1037 |
| LMArena Korean | 1221 | 1057 |
| LMArena Russian | 1288 | 1158 |
| LMArena Spanish | 1243 | 1151 |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| IFEval | 83.1% | 72.4% |
| LMArena Instruction Following | 1258 | 1147 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1284 | 1144 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Gemini 1.5 Flash (May 2024) | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1287 | 1162 |
| LMArena Creative Writing | 1285 | 1141 |
| WildBench | 79.2% | 71.1% |
| LMArena Multi-Turn | 1253 | 1130 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Mixtral 8x22B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 27.1 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Mixtral 8x22B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 24.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Mixtral 8x22B share?
33 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Mixtral 8x22B has 34.