Model comparison
Gemma 4 31B IT vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 26× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
GoogleSummary
- They share 22 benchmarks with published results for both. Gemma 4 31B IT scores higher in 0 categories and GPT-6.1 Sol in 9 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 27.2.
- The biggest single-benchmark swing is SimpleQA Verified: 10.4% for Gemma 4 31B IT and 73.9% for GPT-6.1 Sol.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 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-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.5 | 65.6 |
| Released | 2026-04-02 | 2026-09-29 |
| 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 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
Gemma 4 31B IT: 42.3 (#108), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| LMArena WebDev | 1366 | 1755 |
| SciCode | 43.4% | 55.8% |
| LMArena Coding | 1459 | 1487 |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| GDP.pdf | — | 32% |
Reasoning GPT-6.1 Sol leads
Gemma 4 31B IT: 27.2 (#122), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| NYT Connections (extended) | 70.6% | 95.5% |
| CritPt | 1.4% | 31.7% |
| Chess Puzzles | 5% | 61% |
| LMArena Hard Prompts | 1448 | 1466 |
| Epoch Capabilities Index | 142.74 | 166.09 |
| ARC-AGI-2 | — | 94.2% |
| Kagi LLM Benchmark | 63.5% | — |
| ARC-AGI-1 | — | 98.5% |
| Thematic Generalization | 53% | — |
| EBR-Bench | — | 54.3% |
| Mystery Game Puzzles | — | 80% |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
Math GPT-6.1 Sol leads
Gemma 4 31B IT: 43.2 (#81), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 100% |
| LMArena Math | 1465 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| ProofBench | — | 99% |
Knowledge GPT-6.1 Sol leads
Gemma 4 31B IT: 37.9 (#151), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 75.8% | 95.4% |
| SimpleQA Verified | 10.4% | 73.9% |
| LMArena Expert | 1465 | 1502 |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal GPT-6.1 Sol leads
Gemma 4 31B IT: 41.6 (#34), GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1277 | 1288 |
| Furniture Assembly | — | 80% |
| LMArena Document | 1425 | — |
Multilingual Too close to call
Gemma 4 31B IT: 53.8 (#57), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1431 | 1438 |
| LMArena Chinese | 1476 | 1477 |
| LMArena Russian | 1460 | 1455 |
| LMArena French | 1435 | — |
| LMArena Spanish | 1444 | — |
Instruction Following GPT-6.1 Sol leads
Gemma 4 31B IT: 75.5 (#61), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1433 | 1468 |
Long Context Too close to call
Gemma 4 31B IT: 44.2 (#71), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1446 | 1465 |
Writing & Preference GPT-6.1 Sol leads
Gemma 4 31B IT: 60.5 (#96), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Gemma 4 31B IT | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1443 | 1447 |
| LMArena Creative Writing | 1415 | 1432 |
| LMArena Multi-Turn | 1452 | 1449 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 26× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Which is cheaper, Gemma 4 31B IT or GPT-6.1 Sol?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is Gemma 4 31B IT or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 42.3 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 262K.
How many benchmarks do Gemma 4 31B IT and GPT-6.1 Sol share?
22 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and GPT-6.1 Sol has 34.