# Gemma 4 26B A4B IT vs GPT-4.1

> Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gpt-4-1
- Last updated: 2026-10-12
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 9 categories and GPT-4.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 26B A4B IT leads 47.6 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 82.2% for Gemma 4 26B A4B IT and 38.3% for GPT-4.1.
- Gemma 4 26B A4B IT is cheaper at $0.09 / $0.30 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 262K.
- Gemma 4 26B A4B IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 43.5 | 35.9 |
| Rank | 92 | 219 |
| Context | 262K | 1.05M |
| Input $/M | $0.09 | $2 |
| Output $/M | $0.30 | $8 |
| Weights | Open | Proprietary |

## Coding

- Gemma 4 26B A4B IT: 39.0 (#164)
- GPT-4.1: 34.4 (#238)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| WeirdML | 35.2% | 39% |
| LMArena Coding | 1447 | 1391 |
| ALE-Bench | 927.17 | 558.1 |
| SWE-bench Verified | — | 48.5% |
| SWE-bench Verified (bash only) | — | 39.6% |
| Aider Polyglot | — | 52.4% |
| LMArena WebDev | 1359 | — |
| SciCode | 40% | — |
| CadEval | — | 42% |

## Agentic & Tool Use

- Gemma 4 26B A4B IT: —
- GPT-4.1: 34.7 (#43)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 54% |

## Reasoning

- Gemma 4 26B A4B IT: 21.8 (#213)
- GPT-4.1: 11.7 (#339)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| Chess Puzzles | 6% | 6% |
| LMArena Hard Prompts | 1439 | 1384 |
| DTBench | 74.9% | 68.3% |
| LMCA | 29.7% | 25.6% |
| Epoch Capabilities Index | 141.85 | 136.78 |
| ARC-AGI-2 | — | 0.4% |
| SimpleBench | — | 27% |
| Kagi LLM Benchmark | — | 52.3% |
| ARC-AGI-1 | — | 5.5% |
| CritPt | 0% | — |
| EnigmaEval | — | 2.2% |
| ForecastBench | — | 61.5 |

## Math

- Gemma 4 26B A4B IT: 47.6 (#67)
- GPT-4.1: 22.3 (#280)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 82.2% | 38.3% |
| LMArena Math | 1470 | 1370 |
| FrontierMath (Tiers 1-3) | — | 6% |
| Omni-MATH | — | 47.1% |
| MATH Level 5 | — | 83% |
| FrontierMath (Feb 2025 set) | — | 5.5% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Gemma 4 26B A4B IT: 45.7 (#85)
- GPT-4.1: 37.1 (#160)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| GPQA Diamond | 73.2% | 66.9% |
| Vectara Hallucination Rate | 5.2% | 5.6% |
| LMArena Expert | 1447 | 1364 |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | — | 31.1% |
| MMLU-Pro | — | 81.1% |
| GPQA (HELM) | — | 65.9% |

## Multimodal

- Gemma 4 26B A4B IT: 40.6 (#46)
- GPT-4.1: 38.2 (#67)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| LMArena Vision | 1260 | 1211 |
| GeoBench | — | 72% |

## Multilingual

- Gemma 4 26B A4B IT: 53.1 (#71)
- GPT-4.1: 49.4 (#133)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| LMArena Non-English | 1421 | 1370 |
| LMArena Chinese | 1495 | 1382 |
| LMArena French | 1460 | 1382 |
| LMArena Russian | 1434 | 1377 |
| LMArena Spanish | 1417 | 1376 |
| LMArena German | — | 1381 |
| LMArena Japanese | — | 1319 |
| LMArena Korean | — | 1339 |

## Instruction Following

- Gemma 4 26B A4B IT: 74.8 (#82)
- GPT-4.1: 71.3 (#153)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1367 |
| IFEval | — | 83.8% |

## Long Context

- Gemma 4 26B A4B IT: 43.6 (#91)
- GPT-4.1: 40.0 (#163)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| LMArena Longer Query | 1428 | 1385 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Gemma 4 26B A4B IT: 58.6 (#115)
- GPT-4.1: 57.6 (#125)

| Benchmark | Gemma 4 26B A4B IT | GPT-4.1 |
|---|---|---|
| LMArena Text | 1434 | 1383 |
| LMArena Creative Writing | 1402 | 1363 |
| EQ-Bench Creative Writing | 1305 | 1420 |
| LMArena Multi-Turn | 1441 | 1398 |
| WildBench | — | 85.4% |

## FAQ

### Is Gemma 4 26B A4B IT better than GPT-4.1?

Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 35.9 on the Noometry Index.

### Which is cheaper, Gemma 4 26B A4B IT or GPT-4.1?

Gemma 4 26B A4B IT is cheaper. It lists at $0.09 per million input tokens and $0.30 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is Gemma 4 26B A4B IT or GPT-4.1 better for coding?

Gemma 4 26B A4B IT scores higher on coding benchmarks: 39.0 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 262K.

### How many benchmarks do Gemma 4 26B A4B IT and GPT-4.1 share?

25 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and GPT-4.1 has 52.