# Gemma 4 26B A4B IT vs GPT-5

> GPT-5 is the stronger model overall, scoring 50.9 to 43.1 on the Noometry Index. Gemma 4 26B A4B IT costs 28× less per token, which makes it the better buy when GPT-5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gpt-5
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 2 categories and GPT-5 in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 43.6.
- The biggest single-benchmark swing is Chess Puzzles: 6% for Gemma 4 26B A4B IT and 37% for GPT-5.
- Gemma 4 26B A4B IT is cheaper at $0.0765 / $0.26 per million input/output tokens, against $1.25 / $10 for GPT-5.
- GPT-5 accepts more context: 400K tokens versus 262K.
- Gemma 4 26B A4B IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 43.1 | 50.9 |
| Rank | 88 | 37 |
| Context | 262K | 400K |
| Input $/M | $0.0765 | $1.25 |
| Output $/M | $0.26 | $10 |
| Weights | Open | Proprietary |

## Coding

- Gemma 4 26B A4B IT: 38.8 (#156)
- GPT-5: 50.7 (#39)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| LMArena WebDev | 1359 | 1417 |
| SciCode | 40% | 42.9% |
| WeirdML | 35.2% | 60.7% |
| LMArena Coding | 1446 | 1436 |
| ALE-Bench | 927.17 | 1,162 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| Aider Polyglot | — | 88% |
| GSO | — | 6.9% |
| AlgoTune | — | 1.67 |

## Agentic & Tool Use

- Gemma 4 26B A4B IT: —
- GPT-5: 33.0 (#53)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| DeepResearch Bench | — | 49.6% |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
| METR Time Horizons | — | 69.6% |

## Reasoning

- Gemma 4 26B A4B IT: 21.1 (#205)
- GPT-5: 38.3 (#55)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| CritPt | 0% | 12.6% |
| Chess Puzzles | 6% | 37% |
| LMArena Hard Prompts | 1438 | 1415 |
| DTBench | 74.9% | 90.7% |
| LMCA | 29.7% | 40% |
| Epoch Capabilities Index | 141.85 | 150 |
| ARC-AGI-2 | — | 9.9% |
| SimpleBench | — | 56.7% |
| Kagi LLM Benchmark | — | 72.7% |
| ARC-AGI-1 | — | 65.7% |
| EnigmaEval | — | 10.5% |
| EBR-Bench | — | 12.7% |
| Mystery Game Puzzles | — | 23% |
| ForecastBench | — | 61.4 |

## Math

- Gemma 4 26B A4B IT: 45.7 (#61)
- GPT-5: 54.6 (#36)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 82.2% | 91.4% |
| LMArena Math | 1469 | 1406 |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |
| Omni-MATH | — | 64.7% |
| MATH Level 5 | — | 98.1% |
| FrontierMath (Feb 2025 set) | — | 32.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |

## Knowledge

- Gemma 4 26B A4B IT: 45.6 (#79)
- GPT-5: 56.5 (#37)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| GPQA Diamond | 73.2% | 86.2% |
| Vectara Hallucination Rate | 5.2% | 14.7% |
| LMArena Expert | 1447 | 1420 |
| Humanity's Last Exam | — | 25.3% |
| SimpleQA Verified | — | 50.1% |
| MMLU-Pro | — | 86.3% |
| Confabulations | — | 10.3% |
| GPQA (HELM) | — | 79.2% |

## Multimodal

- Gemma 4 26B A4B IT: 39.9 (#43)
- GPT-5: 46.1 (#12)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| LMArena Vision | 1260 | 1232 |
| GeoBench | — | 81% |
| VPCT | — | 66% |

## Multilingual

- Gemma 4 26B A4B IT: 53.3 (#68)
- GPT-5: 51.5 (#105)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| LMArena Non-English | 1422 | 1397 |
| LMArena Chinese | 1495 | 1423 |
| LMArena French | 1459 | 1409 |
| LMArena Russian | 1434 | 1406 |
| LMArena Spanish | 1415 | 1398 |
| LMArena German | — | 1415 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1361 |

## Instruction Following

- Gemma 4 26B A4B IT: 75.0 (#78)
- GPT-5: 74.0 (#107)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1388 |
| IFEval | — | 87.5% |

## Long Context

- Gemma 4 26B A4B IT: 43.6 (#87)
- GPT-5: 69.5 (#2)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1427 | 1399 |
| Fiction.LiveBench | — | 97.2% |

## Writing & Preference

- Gemma 4 26B A4B IT: 58.8 (#110)
- GPT-5: 63.5 (#63)

| Benchmark | Gemma 4 26B A4B IT | GPT-5 |
|---|---|---|
| LMArena Text | 1434 | 1406 |
| LMArena Creative Writing | 1401 | 1365 |
| EQ-Bench Creative Writing | 1305 | 1627 |
| LMArena Multi-Turn | 1442 | 1426 |
| Short-Story Creative Writing | — | 86% |
| WildBench | — | 85.7% |

## FAQ

### Is Gemma 4 26B A4B IT better than GPT-5?

GPT-5 is the stronger model overall, scoring 50.9 to 43.1 on the Noometry Index. Gemma 4 26B A4B IT costs 28× less per token, which makes it the better buy when GPT-5's lead doesn't matter for your workload.

### Which is cheaper, Gemma 4 26B A4B IT or GPT-5?

Gemma 4 26B A4B IT is cheaper. It lists at $0.0765 per million input tokens and $0.26 per million output tokens; GPT-5 lists at $1.25 and $10.

### Is Gemma 4 26B A4B IT or GPT-5 better for coding?

GPT-5 scores higher on coding benchmarks: 50.7 versus 38.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 does, with 400K tokens against 262K.

### How many benchmarks do Gemma 4 26B A4B IT and GPT-5 share?

28 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and GPT-5 has 69.