Model comparison
Gemma 3n E4b IT vs GPT-6.1 Sol
Gemma 3n E4b IT has enough public results to be ranked (#203); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 36.4.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 36.7 | 42.1 |
| Released | 2025-05-20 | 2026-09-29 |
| Weights | Open | Proprietary |
| Context window | 33K | 1.05M |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.06 | $2 |
| Output $ / M tokens | $0.12 | $10 |
| Results tracked | 18 | 2 |
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Category by category
Coding GPT-6.1 Sol leads
Gemma 3n E4b IT: 36.4 (#193), GPT-6.1 Sol: 51.4
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | — | 75.2% |
| LMArena Coding | 1269 | — |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, GPT-6.1 Sol: 34.3
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| GDP.pdf | — | 32% |
Reasoning Not comparable
Gemma 3n E4b IT: 19.2 (#239), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| LMArena Hard Prompts | 1284 | — |
Math Not comparable
Gemma 3n E4b IT: 32.5 (#186), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Math | 1251 | — |
Knowledge Not comparable
Gemma 3n E4b IT: 33.6 (#193), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Expert | 1245 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.5 (#179), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| 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
Gemma 3n E4b IT: 66.3 (#205), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.8 (#185), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1277 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.3 (#181), GPT-6.1 Sol: —
| Benchmark | Gemma 3n E4b IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-6.1 Sol?
Gemma 3n E4b IT has enough public results to be ranked (#203); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, Gemma 3n E4b IT or GPT-6.1 Sol?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is Gemma 3n E4b IT or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 33K.
How many benchmarks do Gemma 3n E4b IT and GPT-6.1 Sol share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-6.1 Sol has 2.