Model comparison
Gemma 3n E4b IT vs GPT-5-Codex
Gemma 3n E4b IT and GPT-5-Codex score almost the same on the Noometry Index (37.3 vs 37.9), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
GoogleSummary
- They share 1 benchmark with published results for both. Gemma 3n E4b IT scores higher in 0 categories and GPT-5-Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 19.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 70.3% for GPT-5-Codex.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 37.9 |
| Released | — | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 18 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemma 3n E4b IT: 37.0 (#198), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 1268 | — |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemma 3n E4b IT: 19.9 (#247), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 70.3% |
| LMArena Hard Prompts | 1284 | — |
Math Not comparable
Gemma 3n E4b IT: 35.1 (#188), GPT-5-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1251 | — |
Knowledge Not comparable
Gemma 3n E4b IT: 34.2 (#198), GPT-5-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| LMArena Expert | 1246 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.4 (#183), GPT-5-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5-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-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.7 (#191), GPT-5-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.1 (#186), GPT-5-Codex: —
| Benchmark | Gemma 3n E4b IT | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-5-Codex?
Gemma 3n E4b IT and GPT-5-Codex score almost the same on the Noometry Index (37.3 vs 37.9), so choose on price, context window or the category you care about most.
Is Gemma 3n E4b IT or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and GPT-5-Codex share?
1 benchmark has published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-5-Codex has 3.