Model comparison
Gemma 4 31B IT vs GPT-5.3 Chat
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 42.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Gemma 4 31B IT scores higher in 5 categories and GPT-5.3 Chat in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 31B IT leads 41.3 to 35.4.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Gemma 4 31B IT accepts more context: 262K tokens versus 128K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 31B IT | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.2 | 42.1 |
| Released | 2026-04-02 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 262K | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.09 | $1.75 |
| Output $ / M tokens | $0.34 | $14 |
| Results tracked | 35 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 41.9 (#98), GPT-5.3 Chat: 40.8 (#124)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1459 | 1408 |
| LMArena WebDev | 1364 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Too close to call
Gemma 4 31B IT: 26.4 (#119), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1399 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1464 | 1389 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Too close to call
Gemma 4 31B IT: 37.9 (#141), GPT-5.3 Chat: 38.2 (#137)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1465 | 1397 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.0 (#32), GPT-5.3 Chat: —
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1278 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 54.0 (#52), GPT-5.3 Chat: 50.5 (#119)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1431 | 1383 |
| LMArena Chinese | 1478 | 1433 |
| LMArena French | 1436 | 1398 |
| LMArena Russian | 1462 | 1400 |
| LMArena Spanish | 1443 | 1371 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1351 |
| LMArena Korean | — | 1347 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), GPT-5.3 Chat: 73.0 (#124)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1433 | 1378 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#67), GPT-5.3 Chat: 42.6 (#115)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1446 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Gemma 4 31B IT: 60.7 (#92), GPT-5.3 Chat: 63.3 (#65)
| Benchmark | Gemma 4 31B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1443 | 1389 |
| LMArena Creative Writing | 1416 | 1356 |
| EQ-Bench Creative Writing | 1368 | 1690 |
| LMArena Multi-Turn | 1452 | 1413 |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than GPT-5.3 Chat?
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 42.1 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or GPT-5.3 Chat?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is Gemma 4 31B IT or GPT-5.3 Chat better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 41.9 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 128K.
How many benchmarks do Gemma 4 31B IT and GPT-5.3 Chat share?
15 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and GPT-5.3 Chat has 18.