Model comparison
Gemma 4 31B IT vs MiniMax-M2.1
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 38.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and MiniMax-M2.1 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemma 4 31B IT leads 26.4 to 15.8.
- The biggest single-benchmark swing is NYT Connections (extended): 70.6% for Gemma 4 31B IT and 11.2% for MiniMax-M2.1.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.1.
- Gemma 4 31B IT accepts more context: 262K tokens versus 205K.
Side by side
| Gemma 4 31B IT | MiniMax-M2.1 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 43.2 | 38.4 |
| Released | 2026-04-02 | 2025-12-23 |
| 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 | 22 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 41.9 (#98), MiniMax-M2.1: 40.1 (#132)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena WebDev | 1364 | 1384 |
| LMArena Coding | 1459 | 1421 |
| ALE-Bench | 925.5 | 623.83 |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, MiniMax-M2.1: 27.7 (#91)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 26.4 (#119), MiniMax-M2.1: 15.8 (#301)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| NYT Connections (extended) | 70.6% | 11.2% |
| LMArena Hard Prompts | 1448 | 1410 |
| Kagi LLM Benchmark | 63.5% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), MiniMax-M2.1: 35.6 (#142)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena Math | 1464 | 1396 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Too close to call
Gemma 4 31B IT: 37.9 (#141), MiniMax-M2.1: 37.7 (#143)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 11.8% |
| LMArena Expert | 1465 | 1432 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.0 (#32), MiniMax-M2.1: —
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 54.0 (#52), MiniMax-M2.1: 50.2 (#123)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | 1431 | 1378 |
| LMArena Chinese | 1478 | 1430 |
| LMArena French | 1436 | 1405 |
| LMArena Russian | 1462 | 1386 |
| LMArena Spanish | 1443 | 1396 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1287 |
| LMArena Korean | — | 1297 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), MiniMax-M2.1: 74.0 (#108)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | 1433 | 1399 |
Long Context Too close to call
Gemma 4 31B IT: 44.2 (#67), MiniMax-M2.1: 43.2 (#98)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | 1446 | 1416 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.7 (#92), MiniMax-M2.1: 58.5 (#114)
| Benchmark | Gemma 4 31B IT | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | 1443 | 1392 |
| LMArena Creative Writing | 1416 | 1362 |
| LMArena Multi-Turn | 1452 | 1396 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than MiniMax-M2.1?
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 38.4 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or MiniMax-M2.1?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; MiniMax-M2.1 lists at $0.30 and $1.20.
Is Gemma 4 31B IT or MiniMax-M2.1 better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 40.1 in the Noometry coding category.
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-M2.1 share?
18 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and MiniMax-M2.1 has 22.