Model comparison
Gemma 7B vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 30.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 7B scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 27.1.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Gemma 7B | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.0 | 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 | 27 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
Gemma 7B: 30.5 (#294), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1048 | 1408 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Reasoning GPT-5.3 Chat leads
Gemma 7B: 19.9 (#249), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1399 |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.99 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math GPT-5.3 Chat leads
Gemma 7B: 31.2 (#228), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1066 | 1389 |
| GSM8K | 46.4% | — |
Knowledge GPT-5.3 Chat leads
Gemma 7B: 27.3 (#252), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1001 | 1397 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual GPT-5.3 Chat leads
Gemma 7B: 25.1 (#287), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 999 | 1382 |
| LMArena Chinese | 1035 | 1432 |
| LMArena French | 1025 | 1397 |
| LMArena Russian | 993 | 1400 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Spanish | — | 1371 |
Instruction Following GPT-5.3 Chat leads
Gemma 7B: 51.5 (#295), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1017 | 1378 |
Long Context GPT-5.3 Chat leads
Gemma 7B: 31.1 (#282), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1022 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Gemma 7B: 27.1 (#302), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | Gemma 7B | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1056 | 1389 |
| LMArena Creative Writing | 1024 | 1355 |
| LMArena Multi-Turn | 963 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is Gemma 7B better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 30.0 on the Noometry Index.
Is Gemma 7B or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and GPT-5.3 Chat share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GPT-5.3 Chat has 18.