Model comparison
Gemma 4 31B IT vs Mixtral 8x7B
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 27.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Google
Mistral AISummary
- They share 17 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 4 31B IT leads 37.9 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 75.8% for Gemma 4 31B IT and 30.6% for Mixtral 8x7B.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Gemma 4 31B IT accepts more context: 262K tokens versus 32K.
Side by side
| Gemma 4 31B IT | Mixtral 8x7B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 43.5 | 27.1 |
| Released | 2026-04-02 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 262K | 32K |
| Max output | 33K | 32K |
| Input $ / M tokens | $0.09 | $0.70 |
| Output $ / M tokens | $0.34 | $0.70 |
| Results tracked | 35 | 38 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 42.3 (#108), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1459 | 1126 |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1115 |
| DTBench | 82.7% | 49.6% |
| Epoch Capabilities Index | 142.74 | 118.47 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 43.2 (#81), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1465 | 1147 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#151), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 75.8% | 30.6% |
| LMArena Expert | 1465 | 1088 |
| SimpleQA Verified | 10.4% | — |
| MMLU-Pro | — | 33.5% |
| Vectara Hallucination Rate | 7.4% | — |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Mixtral 8x7B: —
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1431 | 1077 |
| LMArena Chinese | 1476 | 1055 |
| LMArena French | 1435 | 1166 |
| LMArena Russian | 1460 | 1090 |
| LMArena Spanish | 1444 | 1111 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1433 | 1109 |
| IFEval | — | 57.5% |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1446 | 1103 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Gemma 4 31B IT | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1443 | 1132 |
| LMArena Creative Writing | 1415 | 1109 |
| LMArena Multi-Turn | 1452 | 1115 |
| EQ-Bench Creative Writing | 1368 | — |
| WildBench | — | 67.3% |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Mixtral 8x7B?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 27.1 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or Mixtral 8x7B?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Gemma 4 31B IT or Mixtral 8x7B better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 32K.
How many benchmarks do Gemma 4 31B IT and Mixtral 8x7B share?
17 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Mixtral 8x7B has 38.