Model comparison
Gemma 3n E4b IT vs Mixtral 8x22B
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 27.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
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Mistral AISummary
- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 8 categories and Mixtral 8x22B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 3n E4b IT leads 34.2 to 15.1.
Side by side
| Gemma 3n E4b IT | Mixtral 8x22B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 37.3 | 27.1 |
| Released | — | 2024-04-17 |
| Weights | Open | Open |
| Context window | — | 64K |
| Max output | — | 64K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 18 | 34 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1268 | 1166 |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning Too close to call
Gemma 3n E4b IT: 19.9 (#247), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1150 |
| Kagi LLM Benchmark | 31.5% | — |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1251 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1246 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1285 | 1128 |
| LMArena Chinese | 1309 | 1116 |
| LMArena French | 1330 | 1166 |
| LMArena German | 1311 | 1141 |
| LMArena Japanese | 1272 | 1037 |
| LMArena Korean | 1259 | 1057 |
| LMArena Russian | 1288 | 1158 |
| LMArena Spanish | 1305 | 1151 |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.1 (#210), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1147 |
| IFEval | — | 72.4% |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1276 | 1144 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Gemma 3n E4b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1306 | 1162 |
| LMArena Creative Writing | 1287 | 1141 |
| LMArena Multi-Turn | 1276 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is Gemma 3n E4b IT better than Mixtral 8x22B?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 27.1 on the Noometry Index.
Is Gemma 3n E4b IT or Mixtral 8x22B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 24.2 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Mixtral 8x22B share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Mixtral 8x22B has 34.