Model comparison
Gemma 3 12B vs Mixtral 8x22B
Gemma 3 12B is the stronger model overall, scoring 32.1 to 27.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
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Mistral AISummary
- They share 15 benchmarks with published results for both. Gemma 3 12B scores higher in 7 categories and Mixtral 8x22B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 3 12B leads 45.7 to 32.8.
- The biggest single-benchmark swing is DTBench: 48.8% for Gemma 3 12B and 55.1% for Mixtral 8x22B.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Gemma 3 12B accepts more context: 131K tokens versus 64K.
Side by side
| Gemma 3 12B | Mixtral 8x22B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 32.1 | 27.1 |
| Released | 2025-03-12 | 2024-04-17 |
| Weights | Open | Open |
| Context window | 131K | 64K |
| Max output | 8K | 64K |
| Input $ / M tokens | $0.05 | $2 |
| Output $ / M tokens | $0.15 | $6 |
| Results tracked | 24 | 34 |
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Category by category
Coding Gemma 3 12B leads
Gemma 3 12B: 31.7 (#280), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1281 | 1166 |
| SciCode | 17.4% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Gemma 3 12B leads
Gemma 3 12B: 25.5 (#108), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
| Cybench | — | 7.5% |
Reasoning Mixtral 8x22B leads
Gemma 3 12B: 15.7 (#313), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1309 | 1150 |
| DTBench | 48.8% | 55.1% |
| Epoch Capabilities Index | 123.5 | 122.03 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LMCA | 4.5% | — |
| ForecastBench | — | 56.3 |
Math Too close to call
Gemma 3 12B: 22.3 (#279), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1307 | 1184 |
| OTIS Mock AIME 2024-2025 | 16.7% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Gemma 3 12B leads
Gemma 3 12B: 26.5 (#257), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 39.5% | 34.1% |
| LMArena Expert | 1248 | 1113 |
| MMLU-Pro | — | 46% |
| Vectara Hallucination Rate | 4.4% | — |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Gemma 3 12B: —, Mixtral 8x22B: —
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual Gemma 3 12B leads
Gemma 3 12B: 45.7 (#165), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1318 | 1128 |
| LMArena German | 1370 | 1141 |
| LMArena Russian | 1335 | 1158 |
| LMArena Chinese | — | 1116 |
| LMArena French | — | 1166 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1057 |
| LMArena Spanish | — | 1151 |
Instruction Following Gemma 3 12B leads
Gemma 3 12B: 68.6 (#186), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1299 | 1147 |
| IFEval | — | 72.4% |
Long Context Gemma 3 12B leads
Gemma 3 12B: 40.0 (#162), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1317 | 1144 |
Writing & Preference Gemma 3 12B leads
Gemma 3 12B: 47.5 (#209), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Gemma 3 12B | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1334 | 1162 |
| LMArena Creative Writing | 1331 | 1141 |
| LMArena Multi-Turn | 1334 | 1130 |
| EQ-Bench Creative Writing | 1126 | — |
| WildBench | — | 71.1% |
Frequently asked questions
Is Gemma 3 12B better than Mixtral 8x22B?
Gemma 3 12B is the stronger model overall, scoring 32.1 to 27.1 on the Noometry Index.
Which is cheaper, Gemma 3 12B or Mixtral 8x22B?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is Gemma 3 12B or Mixtral 8x22B better for coding?
Gemma 3 12B scores higher on coding benchmarks: 31.7 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Gemma 3 12B does, with 131K tokens against 64K.
How many benchmarks do Gemma 3 12B and Mixtral 8x22B share?
15 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and Mixtral 8x22B has 34.