Model comparison
Gemma 3n E4b IT vs GPT-5.1-Codex
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 37.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5.1-Codex leads 41.9 to 37.0.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-5.1-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 38.6 |
| Released | — | 2025-11-12 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 18 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.1-Codex leads
Gemma 3n E4b IT: 37.0 (#198), GPT-5.1-Codex: 41.9 (#116)
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 66% |
| LMArena WebDev | — | 1337 |
| LMArena Coding | 1268 | — |
| ALE-Bench | — | 1,245 |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, GPT-5.1-Codex: 38.0 (#33)
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| Terminal-Bench | — | 60.4% |
| METR Time Horizons | — | 70.8% |
Reasoning Not comparable
Gemma 3n E4b IT: 19.9 (#247), GPT-5.1-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| LMArena Hard Prompts | 1284 | — |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), GPT-5.1-Codex: 30.3 (#235)
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| ProofBench | — | 9% |
| LMArena Math | 1251 | — |
Knowledge Not comparable
Gemma 3n E4b IT: 34.2 (#198), GPT-5.1-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| LMArena Expert | 1246 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.4 (#183), GPT-5.1-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1309 | — |
| LMArena French | 1330 | — |
| LMArena German | 1311 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Not comparable
Gemma 3n E4b IT: 66.1 (#210), GPT-5.1-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.7 (#191), GPT-5.1-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.1 (#186), GPT-5.1-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5.1-Codex |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-5.1-Codex?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or GPT-5.1-Codex better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GPT-5.1-Codex share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-5.1-Codex has 6.