Model comparison
Gemma 4 26B A4B IT vs GPT-4o
Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 28.6 on the Noometry Index.
Last verified . 24 shared benchmarks.
GoogleSummary
- They share 24 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 9 categories and GPT-4o 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 10.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 82.2% for Gemma 4 26B A4B IT and 6.4% for GPT-4o.
- Gemma 4 26B A4B IT is cheaper at $0.0675 / $0.23 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- 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-4o | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.5 | 28.6 |
| Released | 2026-04-02 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 262K | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.0675 | $2.50 |
| Output $ / M tokens | $0.23 | $10 |
| Results tracked | 28 | 72 |
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Category by category
Coding Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 39.0 (#164), GPT-4o: 24.8 (#328)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| WeirdML | 35.2% | 25.1% |
| LMArena Coding | 1447 | 1297 |
| SWE-bench Verified | — | 31% |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| LMArena WebDev | 1359 | — |
| SciCode | 40% | — |
| GSO | — | 0% |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 927.17 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
Gemma 4 26B A4B IT: —, GPT-4o: 21.0 (#141)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |
Reasoning Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 21.8 (#213), GPT-4o: 9.4 (#343)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| CritPt | 0% | 0% |
| Chess Puzzles | 6% | 13% |
| LMArena Hard Prompts | 1439 | 1281 |
| DTBench | 74.9% | 64.5% |
| LMCA | 29.7% | 16.6% |
| Epoch Capabilities Index | 141.85 | 128.97 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 17.8% |
| ARC-AGI-1 | — | 4.5% |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | — | 55.8% |
| LiveBench Data Analysis | — | 60.9% |
| ForecastBench | — | 57.7 |
| LiveBench | — | 55.3% |
Math Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 47.6 (#67), GPT-4o: 10.6 (#312)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 82.2% | 6.4% |
| LMArena Math | 1470 | 1285 |
| FrontierMath (Tiers 1-3) | — | 0.4% |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 45.7 (#85), GPT-4o: 28.8 (#242)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| GPQA Diamond | 73.2% | 49.2% |
| Vectara Hallucination Rate | 5.2% | 9.6% |
| LMArena Expert | 1447 | 1250 |
| Humanity's Last Exam | — | 2.7% |
| SimpleQA Verified | — | 26% |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| GPQA (HELM) | — | 52% |
| MMLU | — | 88.1% |
Multimodal Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 40.6 (#46), GPT-4o: 34.5 (#91)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| LMArena Vision | 1260 | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| ScienceQA | — | 88.5% |
Multilingual Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 53.1 (#71), GPT-4o: 43.2 (#186)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| LMArena Non-English | 1421 | 1283 |
| LMArena Chinese | 1495 | 1277 |
| LMArena French | 1460 | 1304 |
| LMArena Russian | 1434 | 1286 |
| LMArena Spanish | 1417 | 1292 |
| LMArena German | — | 1282 |
| LMArena Japanese | — | 1257 |
| LMArena Korean | — | 1234 |
Instruction Following Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 74.8 (#82), GPT-4o: 66.6 (#207)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| LMArena Instruction Following | 1420 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |
Long Context Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 43.6 (#91), GPT-4o: 39.4 (#179)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1428 | 1289 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference Gemma 4 26B A4B IT leads
Gemma 4 26B A4B IT: 58.6 (#115), GPT-4o: 52.6 (#166)
| Benchmark | Gemma 4 26B A4B IT | GPT-4o |
|---|---|---|
| LMArena Text | 1434 | 1300 |
| LMArena Creative Writing | 1402 | 1292 |
| LMArena Multi-Turn | 1441 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 1305 | — |
| WildBench | — | 82.8% |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is Gemma 4 26B A4B IT better than GPT-4o?
Gemma 4 26B A4B IT is the stronger model overall, scoring 43.5 to 28.6 on the Noometry Index.
Which is cheaper, Gemma 4 26B A4B IT or GPT-4o?
Gemma 4 26B A4B IT is cheaper. It lists at $0.0675 per million input tokens and $0.23 per million output tokens; GPT-4o lists at $2.50 and $10.
Is Gemma 4 26B A4B IT or GPT-4o better for coding?
Gemma 4 26B A4B IT scores higher on coding benchmarks: 39.0 versus 24.8 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-4o share?
24 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and GPT-4o has 72.