Model comparison
Gemma 4 31B IT vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 43.2 on the Noometry Index. Gemma 4 31B IT costs 26× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemma 4 31B IT scores higher in 4 categories and GPT-6 Sol in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 26.4.
- The biggest single-benchmark swing is NYT Connections (extended): 70.6% for Gemma 4 31B IT and 90.1% for GPT-6 Sol.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 31B IT | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.2 | 49.2 |
| Released | 2026-04-02 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.09 | $2 |
| Output $ / M tokens | $0.34 | $10 |
| Results tracked | 35 | 22 |
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Category by category
Coding GPT-6 Sol leads
Gemma 4 31B IT: 41.9 (#98), GPT-6 Sol: 59.6 (#11)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena WebDev | 1364 | 1692 |
| LMArena Coding | 1459 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, GPT-6 Sol: 33.5 (#49)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
Gemma 4 31B IT: 26.4 (#119), GPT-6 Sol: 49.3 (#34)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 70.6% | 90.1% |
| LMArena Hard Prompts | 1448 | 1420 |
| Kagi LLM Benchmark | 63.5% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| EBR-Bench | — | 53.3% |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 41.3 (#72), GPT-6 Sol: 35.8 (#135)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1464 | 1404 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge GPT-6 Sol leads
Gemma 4 31B IT: 37.9 (#141), GPT-6 Sol: 43.0 (#87)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 6.5% |
| LMArena Expert | 1465 | 1449 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
Multimodal GPT-6 Sol leads
Gemma 4 31B IT: 41.0 (#32), GPT-6 Sol: 47.6 (#9)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1278 | — |
| Furniture Assembly | — | 58.3% |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 54.0 (#52), GPT-6 Sol: 51.0 (#113)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1431 | 1389 |
| LMArena Chinese | 1478 | 1416 |
| LMArena Russian | 1462 | 1407 |
| LMArena Spanish | 1443 | 1377 |
| LMArena French | 1436 | — |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.6 (#58), GPT-6 Sol: 74.4 (#97)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1433 | 1406 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#67), GPT-6 Sol: 43.2 (#100)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1446 | 1415 |
Writing & Preference GPT-6 Sol leads
Gemma 4 31B IT: 60.7 (#92), GPT-6 Sol: 72.3 (#15)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1443 | 1396 |
| LMArena Creative Writing | 1416 | 1392 |
| EQ-Bench Creative Writing | 1368 | 2125 |
| LMArena Multi-Turn | 1452 | 1405 |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 43.2 on the Noometry Index. Gemma 4 31B IT costs 26× 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 4 31B IT or GPT-6 Sol?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is Gemma 4 31B IT or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 262K.
How many benchmarks do Gemma 4 31B IT and GPT-6 Sol share?
17 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and GPT-6 Sol has 22.