Model comparison
Gemma 3n E4b IT vs MiniMax-M2.5
MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 7.0× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
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MiniMaxSummary
- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 3 categories and MiniMax-M2.5 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.5 leads 47.9 to 36.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 55.2% for MiniMax-M2.5.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
- MiniMax-M2.5 accepts more context: 205K tokens versus 33K.
Side by side
| Gemma 3n E4b IT | MiniMax-M2.5 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 36.7 | 38.1 |
| Released | 2025-05-20 | 2026-02-12 |
| Weights | Open | Open |
| Context window | 33K | 205K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.06 | $0.30 |
| Output $ / M tokens | $0.12 | $1.20 |
| Results tracked | 18 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
Gemma 3n E4b IT: 36.4 (#193), MiniMax-M2.5: 47.9 (#53)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Coding | 1269 | 1380 |
| SWE-bench Verified (bash only) | — | 75.8% |
| LMArena WebDev | — | 1386 |
| SWE-bench Multilingual | — | 68.3% |
| ALE-Bench | — | 618.17 |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, MiniMax-M2.5: 30.2 (#70)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.2 (#239), MiniMax-M2.5: 17.6 (#281)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 55.2% |
| LMArena Hard Prompts | 1284 | 1372 |
| ARC-AGI-2 | — | 4.9% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| Epoch Capabilities Index | — | 146.68 |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 32.5 (#186), MiniMax-M2.5: 25.8 (#242)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1251 | 1378 |
| ProofBench | — | 4% |
Knowledge MiniMax-M2.5 leads
Gemma 3n E4b IT: 33.6 (#193), MiniMax-M2.5: 38.6 (#132)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1245 | 1378 |
| Vectara Hallucination Rate | — | 9.1% |
Multilingual MiniMax-M2.5 leads
Gemma 3n E4b IT: 43.5 (#179), MiniMax-M2.5: 47.3 (#147)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1285 | 1338 |
| LMArena Chinese | 1310 | 1392 |
| LMArena French | 1330 | 1363 |
| LMArena German | 1312 | 1361 |
| LMArena Japanese | 1274 | 1169 |
| LMArena Korean | 1259 | 1232 |
| LMArena Russian | 1288 | 1359 |
| LMArena Spanish | 1305 | 1354 |
Instruction Following MiniMax-M2.5 leads
Gemma 3n E4b IT: 66.3 (#205), MiniMax-M2.5: 71.7 (#143)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1353 |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.8 (#185), MiniMax-M2.5: 37.4 (#211)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1277 | 1367 |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference MiniMax-M2.5 leads
Gemma 3n E4b IT: 50.3 (#181), MiniMax-M2.5: 54.1 (#149)
| Benchmark | Gemma 3n E4b IT | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1306 | 1359 |
| LMArena Creative Writing | 1287 | 1331 |
| LMArena Multi-Turn | 1276 | 1364 |
| EQ-Bench Creative Writing | — | 1361 |
Frequently asked questions
Is Gemma 3n E4b IT better than MiniMax-M2.5?
MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 7.0× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.
Which is cheaper, Gemma 3n E4b IT or MiniMax-M2.5?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.
Is Gemma 3n E4b IT or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 47.9 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.5 does, with 205K tokens against 33K.
How many benchmarks do Gemma 3n E4b IT and MiniMax-M2.5 share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and MiniMax-M2.5 has 33.