Model comparison
Gemma 2 27B vs GPT-4o
Gemma 2 27B and GPT-4o score almost the same on the Noometry Index (29.2 vs 28.5), so choose on price, context window or the category you care about most.
Last verified . 34 shared benchmarks.
GoogleSummary
- They share 34 benchmarks with published results for both. Gemma 2 27B scores higher in 2 categories and GPT-4o in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4o leads 28.8 to 18.9.
- The biggest single-benchmark swing is LiveBench Reasoning: 28.1% for Gemma 2 27B and 55.8% for GPT-4o.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- GPT-4o accepts more context: 128K tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 27B | GPT-4o | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.2 | 28.5 |
| Released | 2024-06-24 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 8K | 128K |
| Max output | 2K | 16K |
| Input $ / M tokens | $0.65 | $2.50 |
| Output $ / M tokens | $0.65 | $10 |
| Results tracked | 34 | 72 |
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Category by category
Coding Gemma 2 27B leads
Gemma 2 27B: 33.5 (#243), GPT-4o: 25.1 (#323)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| BigCodeBench Instruct | 42.8% | 51.1% |
| LiveBench Coding | 36% | 51.4% |
| LMArena Coding | 1211 | 1297 |
| BigCodeBench Complete | 52.5% | 61.1% |
| SWE-bench Verified | — | 31% |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| GSO | — | 0% |
| WeirdML | — | 25.1% |
| CadEval | — | 26% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, GPT-4o: 20.8 (#133)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |
Reasoning Gemma 2 27B leads
Gemma 2 27B: 14.8 (#313), GPT-4o: 9.4 (#338)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| LiveBench Reasoning | 28.1% | 55.8% |
| LMArena Hard Prompts | 1199 | 1281 |
| DTBench | 48% | 64.5% |
| LiveBench Data Analysis | 47.9% | 60.9% |
| LMCA | 7.1% | 16.6% |
| Epoch Capabilities Index | 122.06 | 128.97 |
| LiveBench | 38.2% | 55.3% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 17.8% |
| ARC-AGI-1 | — | 4.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 13% |
| EnigmaEval | — | 0.8% |
| ForecastBench | — | 57.7 |
Math Too close to call
Gemma 2 27B: 10.0 (#306), GPT-4o: 10.2 (#303)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | 6.4% |
| LiveBench Math | 26.5% | 49.5% |
| LMArena Math | 1212 | 1285 |
| MATH Level 5 | 27.9% | 53.3% |
| FrontierMath (Tiers 1-3) | — | 0.4% |
| Omni-MATH | — | 29.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge GPT-4o leads
Gemma 2 27B: 18.9 (#275), GPT-4o: 28.8 (#235)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| GPQA Diamond | 36.5% | 49.2% |
| Confabulations | 27.1% | 15.3% |
| LMArena Expert | 1172 | 1250 |
| MMLU | 75.7% | 88.1% |
| Humanity's Last Exam | — | 2.7% |
| SimpleQA Verified | — | 26% |
| MMLU-Pro | — | 71.3% |
| Vectara Hallucination Rate | — | 9.6% |
| GPQA (HELM) | — | 52% |
Multimodal Not comparable
Gemma 2 27B: —, GPT-4o: 33.9 (#85)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| LMArena Vision | — | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| ScienceQA | — | 88.5% |
Multilingual GPT-4o leads
Gemma 2 27B: 38.8 (#221), GPT-4o: 43.4 (#181)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| LMArena Non-English | 1217 | 1283 |
| LMArena Chinese | 1221 | 1277 |
| LMArena French | 1246 | 1303 |
| LMArena German | 1209 | 1282 |
| LMArena Japanese | 1175 | 1257 |
| LMArena Korean | 1174 | 1234 |
| LMArena Russian | 1234 | 1286 |
| LMArena Spanish | 1228 | 1292 |
Instruction Following GPT-4o leads
Gemma 2 27B: 60.7 (#244), GPT-4o: 66.8 (#202)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| LiveBench Instruction Following | 58.1% | 68.6% |
| LMArena Instruction Following | 1206 | 1278 |
| IFEval | — | 81.7% |
Long Context GPT-4o leads
Gemma 2 27B: 37.3 (#213), GPT-4o: 39.4 (#174)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1231 | 1289 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GPT-4o leads
Gemma 2 27B: 44.4 (#220), GPT-4o: 52.8 (#160)
| Benchmark | Gemma 2 27B | GPT-4o |
|---|---|---|
| LMArena Text | 1231 | 1300 |
| LMArena Creative Writing | 1241 | 1291 |
| LMArena Multi-Turn | 1224 | 1302 |
| LiveBench Language | 32.6% | 47.6% |
| Short-Story Creative Writing | — | 81.8% |
| WildBench | — | 82.8% |
Frequently asked questions
Is Gemma 2 27B better than GPT-4o?
Gemma 2 27B and GPT-4o score almost the same on the Noometry Index (29.2 vs 28.5), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 2 27B or GPT-4o?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-4o lists at $2.50 and $10.
Is Gemma 2 27B or GPT-4o better for coding?
Gemma 2 27B scores higher on coding benchmarks: 33.5 versus 25.1 in the Noometry coding category.
Which has the bigger context window?
GPT-4o does, with 128K tokens against 8K.
How many benchmarks do Gemma 2 27B and GPT-4o share?
34 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-4o has 72.