Model comparison
Gemma 4 26B A4B IT vs GPT-5.3 Chat
Gemma 4 26B A4B IT and GPT-5.3 Chat score almost the same on the Noometry Index (43.5 vs 42.8), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 5 categories and GPT-5.3 Chat in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 26B A4B IT leads 47.6 to 38.2.
- Gemma 4 26B A4B IT is cheaper at $0.0675 / $0.23 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Gemma 4 26B A4B IT accepts more context: 262K tokens versus 128K.
- Gemma 4 26B A4B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 26B A4B IT | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.5 | 42.8 |
| Released | 2026-04-02 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 262K | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.0675 | $1.75 |
| Output $ / M tokens | $0.23 | $14 |
| Results tracked | 28 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
Gemma 4 26B A4B IT: 39.0 (#164), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1447 | 1408 |
| LMArena WebDev | 1359 | — |
| SciCode | 40% | — |
| WeirdML | 35.2% | — |
| ALE-Bench | 927.17 | — |
Reasoning GPT-5.3 Chat leads
Gemma 4 26B A4B IT: 21.8 (#213), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1439 | 1399 |
| CritPt | 0% | — |
| Chess Puzzles | 6% | — |
| DTBench | 74.9% | — |
| LMCA | 29.7% | — |
| Epoch Capabilities Index | 141.85 | — |
Math Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 47.6 (#67), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1470 | 1389 |
| OTIS Mock AIME 2024-2025 | 82.2% | — |
Knowledge Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 45.7 (#85), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1447 | 1397 |
| GPQA Diamond | 73.2% | — |
| Vectara Hallucination Rate | 5.2% | — |
Multimodal Not comparable
Gemma 4 26B A4B IT: 40.6 (#46), GPT-5.3 Chat: —
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1260 | — |
Multilingual Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 53.1 (#71), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1421 | 1382 |
| LMArena Chinese | 1495 | 1432 |
| LMArena French | 1460 | 1397 |
| LMArena Russian | 1434 | 1400 |
| LMArena Spanish | 1417 | 1371 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
Instruction Following Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 74.8 (#82), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1420 | 1378 |
Long Context Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 43.6 (#91), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1428 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Gemma 4 26B A4B IT: 58.6 (#115), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | Gemma 4 26B A4B IT | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1434 | 1389 |
| LMArena Creative Writing | 1402 | 1355 |
| EQ-Bench Creative Writing | 1305 | 1690 |
| LMArena Multi-Turn | 1441 | 1412 |
Frequently asked questions
Is Gemma 4 26B A4B IT better than GPT-5.3 Chat?
Gemma 4 26B A4B IT and GPT-5.3 Chat score almost the same on the Noometry Index (43.5 vs 42.8), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 4 26B A4B IT or GPT-5.3 Chat?
Gemma 4 26B A4B IT is cheaper. It lists at $0.0675 per million input tokens and $0.23 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is Gemma 4 26B A4B IT or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 39.0 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 26B A4B IT does, with 262K tokens against 128K.
How many benchmarks do Gemma 4 26B A4B IT and GPT-5.3 Chat share?
15 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and GPT-5.3 Chat has 18.