Model comparison
Gemini 4 Argon vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 61.8 to 56.5 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemini 4 Argon scores higher in 5 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 74.0 to 44.2.
- The biggest single-benchmark swing is APEX-Agents: 82.2% for Gemini 4 Argon and 54.3% for GPT-6 Sol.
Side by side
| Gemini 4 Argon | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.5 | 61.8 |
| Released | 2026-09-30 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 21 | 45 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), GPT-6 Sol: 60.1 (#11)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| LMArena WebDev | 1678 | 1688 |
| SciCode | 61.8% | 57.6% |
| LMArena Coding | 1550 | 1447 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| FrontierSWE | 55% | — |
| ALE-Bench | — | 2,462 |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), GPT-6 Sol: 37.2 (#36)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| APEX-Agents | 82.2% | 54.3% |
| Vending-Bench 2 | 13,718 | 14,428 |
| GDP.pdf | — | 26.4% |
Reasoning GPT-6 Sol leads
Gemini 4 Argon: 44.2 (#47), GPT-6 Sol: 74.0 (#9)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| CritPt | 27.1% | 30.9% |
| LMArena Hard Prompts | 1548 | 1418 |
| ARC-AGI-2 | — | 89.6% |
| NYT Connections (extended) | — | 90.1% |
| ARC-AGI-1 | — | 95.5% |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | — | 56% |
| DTBench | — | 97.3% |
| LMCA | — | 59.1% |
| Epoch Capabilities Index | — | 162.72 |
Math GPT-6 Sol leads
Gemini 4 Argon: 73.9 (#17), GPT-6 Sol: 87.2 (#7)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| ProofBench | 99% | 83% |
| LMArena Math | 1536 | 1402 |
| FrontierMath (Tiers 1-3) | — | 89.8% |
| FrontierMath Tier 4 | — | 90% |
| OTIS Mock AIME 2024-2025 | — | 100% |
Knowledge GPT-6 Sol leads
Gemini 4 Argon: 43.9 (#89), GPT-6 Sol: 64.8 (#15)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1553 | 1439 |
| GPQA Diamond | — | 94.3% |
| SimpleQA Verified | — | 60.7% |
| Vectara Hallucination Rate | — | 6.5% |
Multimodal GPT-6 Sol leads
Gemini 4 Argon: 46.5 (#14), GPT-6 Sol: 47.6 (#10)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | 36.9% |
| LMArena Vision | — | 1245 |
| Furniture Assembly | — | 58.3% |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), GPT-6 Sol: 50.5 (#118)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1523 | 1385 |
| LMArena Chinese | 1610 | 1405 |
| LMArena Russian | 1537 | 1401 |
| LMArena Spanish | 1497 | 1384 |
| LMArena French | — | 1410 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1341 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), GPT-6 Sol: 74.5 (#94)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1538 | 1412 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), GPT-6 Sol: 43.1 (#108)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1549 | 1411 |
Writing & Preference Too close to call
Gemini 4 Argon: 71.4 (#19), GPT-6 Sol: 71.9 (#18)
| Benchmark | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1534 | 1395 |
| LMArena Creative Writing | 1531 | 1378 |
| LMArena Multi-Turn | 1557 | 1412 |
| EQ-Bench Creative Writing | — | 2125 |
Frequently asked questions
Is Gemini 4 Argon better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 56.5 on the Noometry Index.
Is Gemini 4 Argon or GPT-6 Sol better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 60.1 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and GPT-6 Sol share?
20 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and GPT-6 Sol has 45.