Model comparison
Gemma 1.1 7b IT vs Mixtral 8x22B
Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 27.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
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Mistral AISummary
- They share 19 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 4 categories and Mixtral 8x22B in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 1.1 7b IT leads 28.3 to 15.1.
Side by side
| Gemma 1.1 7b IT | Mixtral 8x22B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 31.3 | 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 | 19 | 34 |
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Category by category
Coding Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 31.5 (#284), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1084 | 1166 |
| HumanEval+ | 35.4% | 72% |
| MBPP+ | 45% | 64.3% |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning Too close to call
Gemma 1.1 7b IT: 20.5 (#238), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |
Math Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 32.0 (#220), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1107 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 28.3 (#247), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1039 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multilingual Mixtral 8x22B leads
Gemma 1.1 7b IT: 28.1 (#273), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1052 | 1128 |
| LMArena Chinese | 1061 | 1116 |
| LMArena French | 1065 | 1166 |
| LMArena German | 1054 | 1141 |
| LMArena Japanese | 971 | 1037 |
| LMArena Korean | 988 | 1057 |
| LMArena Russian | 1046 | 1158 |
| LMArena Spanish | 1049 | 1151 |
Instruction Following Mixtral 8x22B leads
Gemma 1.1 7b IT: 54.0 (#283), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1057 | 1147 |
| IFEval | — | 72.4% |
Long Context Mixtral 8x22B leads
Gemma 1.1 7b IT: 32.1 (#272), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1056 | 1144 |
Writing & Preference Mixtral 8x22B leads
Gemma 1.1 7b IT: 30.4 (#288), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Gemma 1.1 7b IT | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1094 | 1162 |
| LMArena Creative Writing | 1060 | 1141 |
| LMArena Multi-Turn | 1040 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is Gemma 1.1 7b IT better than Mixtral 8x22B?
Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 27.1 on the Noometry Index.
Is Gemma 1.1 7b IT or Mixtral 8x22B better for coding?
Gemma 1.1 7b IT scores higher on coding benchmarks: 31.5 versus 24.2 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and Mixtral 8x22B share?
19 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and Mixtral 8x22B has 34.