Model comparison
Gemma 3n E4b IT vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 37.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 19.9.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-5.5 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 64.3 |
| Released | — | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $30 |
| Output $ / M tokens | — | $180 |
| Results tracked | 18 | 14 |
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Category by category
Coding Not comparable
Gemma 3n E4b IT: 37.0 (#198), GPT-5.5 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| LMArena Coding | 1268 | — |
Reasoning GPT-5.5 Pro leads
Gemma 3n E4b IT: 19.9 (#247), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| Kagi LLM Benchmark | 31.5% | — |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| LMArena Hard Prompts | 1284 | — |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| Epoch Capabilities Index | — | 162.07 |
Math GPT-5.5 Pro leads
Gemma 3n E4b IT: 35.1 (#188), GPT-5.5 Pro: 84.0 (#10)
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| LMArena Math | 1251 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge GPT-5.5 Pro leads
Gemma 3n E4b IT: 34.2 (#198), GPT-5.5 Pro: 64.1 (#19)
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
| LMArena Expert | 1246 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.4 (#183), GPT-5.5 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| 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-5.5 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.7 (#191), GPT-5.5 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.1 (#186), GPT-5.5 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 37.3 on the Noometry Index.
How many benchmarks do Gemma 3n E4b IT and GPT-5.5 Pro share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-5.5 Pro has 14.