Model comparison
Gemma 4 26B A4B IT vs MiniMax-M2.5
Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 38.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
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MiniMaxSummary
- They share 19 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 7 categories and MiniMax-M2.5 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 26B A4B IT leads 47.6 to 26.9.
- Gemma 4 26B A4B IT is cheaper at $0.0675 / $0.23 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
- Gemma 4 26B A4B IT accepts more context: 262K tokens versus 205K.
Side by side
| Gemma 4 26B A4B IT | MiniMax-M2.5 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 43.5 | 38.3 |
| Released | 2026-04-02 | 2026-02-12 |
| Weights | Open | Open |
| Context window | 262K | 205K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.0675 | $0.30 |
| Output $ / M tokens | $0.23 | $1.20 |
| Results tracked | 28 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
Gemma 4 26B A4B IT: 39.0 (#164), MiniMax-M2.5: 48.1 (#58)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena WebDev | 1359 | 1387 |
| LMArena Coding | 1447 | 1381 |
| ALE-Bench | 927.17 | 618.17 |
| SWE-bench Verified (bash only) | — | 75.8% |
| SWE-bench Multilingual | — | 68.3% |
| SciCode | 40% | — |
| WeirdML | 35.2% | — |
Agentic & Tool Use Not comparable
Gemma 4 26B A4B IT: —, MiniMax-M2.5: 30.4 (#77)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 21.8 (#213), MiniMax-M2.5: 17.5 (#292)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Hard Prompts | 1439 | 1372 |
| Epoch Capabilities Index | 141.85 | 146.68 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| CritPt | 0% | — |
| Chess Puzzles | 6% | — |
| DTBench | 74.9% | — |
| LMCA | 29.7% | — |
Math Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 47.6 (#67), MiniMax-M2.5: 26.9 (#253)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1470 | 1378 |
| OTIS Mock AIME 2024-2025 | 82.2% | — |
| ProofBench | — | 4% |
Knowledge Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 45.7 (#85), MiniMax-M2.5: 39.2 (#135)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| Vectara Hallucination Rate | 5.2% | 9.1% |
| LMArena Expert | 1447 | 1379 |
| GPQA Diamond | 73.2% | — |
Multimodal Not comparable
Gemma 4 26B A4B IT: 40.6 (#46), MiniMax-M2.5: —
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Vision | 1260 | — |
Multilingual Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 53.1 (#71), MiniMax-M2.5: 47.1 (#152)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1421 | 1338 |
| LMArena Chinese | 1495 | 1393 |
| LMArena French | 1460 | 1362 |
| LMArena Russian | 1434 | 1358 |
| LMArena Spanish | 1417 | 1354 |
| LMArena German | — | 1362 |
| LMArena Japanese | — | 1171 |
| LMArena Korean | — | 1232 |
Instruction Following Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 74.8 (#82), MiniMax-M2.5: 71.5 (#148)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1353 |
Long Context Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 43.6 (#91), MiniMax-M2.5: 37.5 (#216)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1428 | 1366 |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 58.6 (#115), MiniMax-M2.5: 53.9 (#153)
| Benchmark | Gemma 4 26B A4B IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1434 | 1359 |
| LMArena Creative Writing | 1402 | 1331 |
| EQ-Bench Creative Writing | 1305 | 1361 |
| LMArena Multi-Turn | 1441 | 1364 |
Frequently asked questions
Is Gemma 4 26B A4B IT better than MiniMax-M2.5?
Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 38.3 on the Noometry Index.
Which is cheaper, Gemma 4 26B A4B IT or MiniMax-M2.5?
Gemma 4 26B A4B IT is cheaper. It lists at $0.0675 per million input tokens and $0.23 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.
Is Gemma 4 26B A4B IT or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 39.0 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 26B A4B IT does, with 262K tokens against 205K.
How many benchmarks do Gemma 4 26B A4B IT and MiniMax-M2.5 share?
19 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and MiniMax-M2.5 has 33.