Model comparison
Gemma 2B vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
GoogleSummary
- They share 11 benchmarks with published results for both. Gemma 2B scores higher in 0 categories and GPT-5.3 Chat in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 24.0.
- Gemma 2B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2B | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.6 | 42.8 |
| Released | 2024-02-21 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 23 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
Gemma 2B: 29.4 (#305), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1010 | 1408 |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Reasoning GPT-5.3 Chat leads
Gemma 2B: 18.8 (#275), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 989 | 1399 |
| BIG-Bench Hard | 35.2% | — |
| Epoch Capabilities Index | 94.2 | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math GPT-5.3 Chat leads
Gemma 2B: 30.0 (#239), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1009 | 1389 |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, GPT-5.3 Chat: 38.8 (#140)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multilingual GPT-5.3 Chat leads
Gemma 2B: 23.0 (#294), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 958 | 1382 |
| LMArena Chinese | 986 | 1432 |
| LMArena Russian | 937 | 1400 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Spanish | — | 1371 |
Instruction Following GPT-5.3 Chat leads
Gemma 2B: 48.5 (#302), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 970 | 1378 |
Long Context GPT-5.3 Chat leads
Gemma 2B: 29.9 (#291), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 981 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Gemma 2B: 24.0 (#308), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | Gemma 2B | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1002 | 1389 |
| LMArena Creative Writing | 987 | 1355 |
| LMArena Multi-Turn | 945 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is Gemma 2B better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.6 on the Noometry Index.
Is Gemma 2B or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2B and GPT-5.3 Chat share?
11 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and GPT-5.3 Chat has 18.