Model comparison
Gemma 4 31B IT vs MiniMax-M2.7
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 37.7 on the Noometry Index.
Last verified . 23 shared benchmarks.
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MiniMaxSummary
- They share 23 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and MiniMax-M2.7 in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 31B IT leads 43.2 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 70.6% for Gemma 4 31B IT and 24.7% for MiniMax-M2.7.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
- Gemma 4 31B IT accepts more context: 262K tokens versus 205K.
Side by side
| Gemma 4 31B IT | MiniMax-M2.7 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 43.5 | 37.7 |
| Released | 2026-04-02 | 2026-03-18 |
| Weights | Open | Open |
| Context window | 262K | 205K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.09 | $0.30 |
| Output $ / M tokens | $0.34 | $1.20 |
| Results tracked | 35 | 30 |
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Category by category
Coding Too close to call
Gemma 4 31B IT: 42.3 (#108), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1366 | 1398 |
| SciCode | 43.4% | 47% |
| WeirdML | 52.3% | 37% |
| LMArena Coding | 1459 | 1454 |
| ALE-Bench | 925.5 | 599.25 |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, MiniMax-M2.7: 25.1 (#111)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | 70.6% | 24.7% |
| CritPt | 1.4% | 0.6% |
| Thematic Generalization | 53% | 39.3% |
| LMArena Hard Prompts | 1448 | 1422 |
| Epoch Capabilities Index | 142.74 | 145.85 |
| Kagi LLM Benchmark | 63.5% | — |
| Chess Puzzles | 5% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 43.2 (#81), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1465 | 1420 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| ProofBench | — | 3% |
Knowledge Too close to call
Gemma 4 31B IT: 37.9 (#151), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 12.9% |
| LMArena Expert | 1465 | 1444 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), MiniMax-M2.7: —
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1431 | 1382 |
| LMArena Chinese | 1476 | 1441 |
| LMArena French | 1435 | 1421 |
| LMArena Russian | 1460 | 1383 |
| LMArena Spanish | 1444 | 1403 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1313 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1433 | 1405 |
Long Context Too close to call
Gemma 4 31B IT: 44.2 (#71), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1446 | 1419 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1443 | 1405 |
| LMArena Creative Writing | 1415 | 1354 |
| LMArena Multi-Turn | 1452 | 1412 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than MiniMax-M2.7?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 37.7 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or MiniMax-M2.7?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.
Is Gemma 4 31B IT or MiniMax-M2.7 better for coding?
They score almost the same on coding (42.3 vs 41.8); test both on your own repository before choosing.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 205K.
How many benchmarks do Gemma 4 31B IT and MiniMax-M2.7 share?
23 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and MiniMax-M2.7 has 30.