Model comparison
Devstral Small 2505 vs Gemma 3n E4b IT
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Devstral Small 2505 scores higher in 1 category and Gemma 3n E4b IT in 1 category; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.7% for Devstral Small 2505 and 31.5% for Gemma 3n E4b IT.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.10 / $0.30 for Devstral Small 2505.
- Devstral Small 2505 accepts more context: 128K tokens versus 33K.
Side by side
| Devstral Small 2505 | Gemma 3n E4b IT | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 33.9 | 36.7 |
| Released | 2025-05-07 | 2025-05-20 |
| Weights | Open | Open |
| Context window | 128K | 33K |
| Max output | 128K | 33K |
| Input $ / M tokens | $0.10 | $0.06 |
| Output $ / M tokens | $0.30 | $0.12 |
| Results tracked | 4 | 18 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.6 (#160), Gemma 3n E4b IT: 36.4 (#193)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| LMArena Coding | — | 1269 |
Reasoning Too close to call
Devstral Small 2505: 19.1 (#243), Gemma 3n E4b IT: 19.2 (#239)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | 31.5% |
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1284 |
Math Not comparable
Devstral Small 2505: —, Gemma 3n E4b IT: 32.5 (#186)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | — | 1251 |
Knowledge Not comparable
Devstral Small 2505: —, Gemma 3n E4b IT: 33.6 (#193)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | — | 1245 |
Multilingual Not comparable
Devstral Small 2505: —, Gemma 3n E4b IT: 43.5 (#179)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | — | 1285 |
| LMArena Chinese | — | 1310 |
| LMArena French | — | 1330 |
| LMArena German | — | 1312 |
| LMArena Japanese | — | 1274 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1288 |
| LMArena Spanish | — | 1305 |
Instruction Following Not comparable
Devstral Small 2505: —, Gemma 3n E4b IT: 66.3 (#205)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | — | 1255 |
Long Context Not comparable
Devstral Small 2505: —, Gemma 3n E4b IT: 38.8 (#185)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | — | 1277 |
Writing & Preference Not comparable
Devstral Small 2505: —, Gemma 3n E4b IT: 50.3 (#181)
| Benchmark | Devstral Small 2505 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | — | 1306 |
| LMArena Creative Writing | — | 1287 |
| LMArena Multi-Turn | — | 1276 |
Frequently asked questions
Is Devstral Small 2505 better than Gemma 3n E4b IT?
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.9 on the Noometry Index.
Which is cheaper, Devstral Small 2505 or Gemma 3n E4b IT?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Devstral Small 2505 lists at $0.10 and $0.30.
Is Devstral Small 2505 or Gemma 3n E4b IT better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
Devstral Small 2505 does, with 128K tokens against 33K.
How many benchmarks do Devstral Small 2505 and Gemma 3n E4b IT share?
1 benchmark has published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Gemma 3n E4b IT has 18.