Model comparison
Gemma 7B vs MiniMax-M2.7
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 30.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
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MiniMaxSummary
- They share 14 benchmarks with published results for both. Gemma 7B scores higher in 2 categories and MiniMax-M2.7 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 27.1.
Side by side
| Gemma 7B | MiniMax-M2.7 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 30.0 | 37.7 |
| Released | 2024-02-21 | 2026-03-18 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 27 | 30 |
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Category by category
Coding MiniMax-M2.7 leads
Gemma 7B: 30.5 (#294), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 1048 | 1454 |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| ALE-Bench | — | 599.25 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, MiniMax-M2.7: 25.1 (#111)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning Too close to call
Gemma 7B: 19.9 (#249), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1422 |
| Epoch Capabilities Index | 111.99 | 145.85 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Gemma 7B leads
Gemma 7B: 31.2 (#228), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1066 | 1420 |
| ProofBench | — | 3% |
| GSM8K | 46.4% | — |
Knowledge MiniMax-M2.7 leads
Gemma 7B: 27.3 (#252), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1001 | 1444 |
| Vectara Hallucination Rate | — | 12.9% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual MiniMax-M2.7 leads
Gemma 7B: 25.1 (#287), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 999 | 1382 |
| LMArena Chinese | 1035 | 1441 |
| LMArena French | 1025 | 1421 |
| LMArena Russian | 993 | 1383 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1313 |
| LMArena Spanish | — | 1403 |
Instruction Following MiniMax-M2.7 leads
Gemma 7B: 51.5 (#295), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1017 | 1405 |
Long Context MiniMax-M2.7 leads
Gemma 7B: 31.1 (#282), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1022 | 1419 |
Writing & Preference MiniMax-M2.7 leads
Gemma 7B: 27.1 (#302), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Gemma 7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1056 | 1405 |
| LMArena Creative Writing | 1024 | 1354 |
| LMArena Multi-Turn | 963 | 1412 |
Frequently asked questions
Is Gemma 7B better than MiniMax-M2.7?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 30.0 on the Noometry Index.
Is Gemma 7B or MiniMax-M2.7 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and MiniMax-M2.7 share?
14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and MiniMax-M2.7 has 30.