Model comparison
Gemma 2 27B vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 29.2 on the Noometry Index. Gemma 2 27B costs 6.2× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and GPT-6 Sol in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 14.8.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 27B | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.2 | 49.2 |
| Released | 2024-06-24 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 8K | 1.05M |
| Max output | 2K | 128K |
| Input $ / M tokens | $0.65 | $2 |
| Output $ / M tokens | $0.65 | $10 |
| Results tracked | 34 | 22 |
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Category by category
Coding GPT-6 Sol leads
Gemma 2 27B: 33.5 (#243), GPT-6 Sol: 59.6 (#11)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1211 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, GPT-6 Sol: 33.5 (#49)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
Gemma 2 27B: 14.8 (#313), GPT-6 Sol: 49.3 (#34)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1199 | 1420 |
| NYT Connections (extended) | — | 90.1% |
| EBR-Bench | — | 53.3% |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.06 | — |
| LiveBench | 38.2% | — |
Math GPT-6 Sol leads
Gemma 2 27B: 10.0 (#306), GPT-6 Sol: 35.8 (#135)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1212 | 1404 |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
Knowledge GPT-6 Sol leads
Gemma 2 27B: 18.9 (#275), GPT-6 Sol: 43.0 (#87)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1172 | 1449 |
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| Vectara Hallucination Rate | — | 6.5% |
| MMLU | 75.7% | — |
Multimodal Not comparable
Gemma 2 27B: —, GPT-6 Sol: 47.6 (#9)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | — | 58.3% |
Multilingual GPT-6 Sol leads
Gemma 2 27B: 38.8 (#221), GPT-6 Sol: 51.0 (#113)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1217 | 1389 |
| LMArena Chinese | 1221 | 1416 |
| LMArena Russian | 1234 | 1407 |
| LMArena Spanish | 1228 | 1377 |
| LMArena French | 1246 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
Instruction Following GPT-6 Sol leads
Gemma 2 27B: 60.7 (#244), GPT-6 Sol: 74.4 (#97)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1206 | 1406 |
| LiveBench Instruction Following | 58.1% | — |
Long Context GPT-6 Sol leads
Gemma 2 27B: 37.3 (#213), GPT-6 Sol: 43.2 (#100)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1231 | 1415 |
Writing & Preference GPT-6 Sol leads
Gemma 2 27B: 44.4 (#220), GPT-6 Sol: 72.3 (#15)
| Benchmark | Gemma 2 27B | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1231 | 1396 |
| LMArena Creative Writing | 1241 | 1392 |
| LMArena Multi-Turn | 1224 | 1405 |
| EQ-Bench Creative Writing | — | 2125 |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 29.2 on the Noometry Index. Gemma 2 27B costs 6.2× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, Gemma 2 27B or GPT-6 Sol?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is Gemma 2 27B or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 8K.
How many benchmarks do Gemma 2 27B and GPT-6 Sol share?
13 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-6 Sol has 22.