Model comparison
GPT-5 vs GPT-5.6 Sol
GPT-5.6 Sol is the stronger model overall, scoring 64.4 to 50.9 on the Noometry Index. GPT-5 costs 2.3× less per token, which makes it the better buy when GPT-5.6 Sol's lead doesn't matter for your workload.
Last verified . 44 shared benchmarks.
Summary
- They share 44 benchmarks with published results for both. GPT-5 scores higher in 1 category and GPT-5.6 Sol in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Sol leads 74.7 to 38.3.
- The biggest single-benchmark swing is ARC-AGI-2: 9.9% for GPT-5 and 92.5% for GPT-5.6 Sol.
- GPT-5 is cheaper at $1.25 / $10 per million input/output tokens, against $4 / $20 for GPT-5.6 Sol.
- GPT-5.6 Sol accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5 | GPT-5.6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 50.9 | 64.4 |
| Released | 2025-08-07 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.25 | $4 |
| Output $ / M tokens | $10 | $20 |
| Results tracked | 69 | 64 |
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Category by category
Coding GPT-5.6 Sol leads
GPT-5: 50.7 (#39), GPT-5.6 Sol: 61.1 (#7)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| LMArena WebDev | 1417 | 1619 |
| SciCode | 42.9% | 57.1% |
| WeirdML | 60.7% | 89.4% |
| LMArena Coding | 1436 | 1493 |
| ALE-Bench | 1,162 | 2,177 |
| SWE-bench Verified | 73.6% | — |
| DeepSWE | — | 72.7% |
| FrontierCode | — | 47.5% |
| SWE-bench Verified (bash only) | 65% | — |
| Aider Polyglot | 88% | — |
| CursorBench | — | 41.7% |
| FrontierSWE | — | 32.2% |
| GSO | 6.9% | — |
| MirrorCode | — | 20% |
| AlgoTune | 1.67 | — |
Agentic & Tool Use GPT-5.6 Sol leads
GPT-5: 33.0 (#53), GPT-5.6 Sol: 50.2 (#7)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| BALROG | 32.8% | 60% |
| LMArena Search | 1133 | 1257 |
| Terminal-Bench | 49.6% | — |
| APEX-Agents | — | 51.4% |
| OSWorld 2.0 | — | 27.3% |
| GDPval | 34.8% | — |
| Remote Labor Index | 1.7% | — |
| τ²-bench Banking | — | 46.9% |
| DeepResearch Bench | 49.6% | — |
| PostTrainBench | — | 36.2% |
| GBAEval | — | 52.6% |
| GDP.pdf | — | 30.7% |
| METR Time Horizons | 69.6% | — |
| Vending-Bench 2 | — | 9,619 |
Reasoning GPT-5.6 Sol leads
GPT-5: 38.3 (#55), GPT-5.6 Sol: 74.7 (#6)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| ARC-AGI-2 | 9.9% | 92.5% |
| SimpleBench | 56.7% | 71.7% |
| Kagi LLM Benchmark | 72.7% | 67% |
| ARC-AGI-1 | 65.7% | 97.5% |
| CritPt | 12.6% | 32.3% |
| Chess Puzzles | 37% | 64% |
| EnigmaEval | 10.5% | 37.1% |
| EBR-Bench | 12.7% | 44.8% |
| LMArena Hard Prompts | 1415 | 1481 |
| Mystery Game Puzzles | 23% | 58% |
| DTBench | 90.7% | 96% |
| LMCA | 40% | 59.2% |
| Epoch Capabilities Index | 150 | 161.99 |
| NYT Connections (extended) | — | 93.8% |
| Surface Evolver Bench | — | 93.1% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 61.4 | — |
Math GPT-5.6 Sol leads
GPT-5: 54.6 (#36), GPT-5.6 Sol: 85.5 (#7)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.4% | 89.1% |
| FrontierMath Tier 4 | 22% | 82.9% |
| OTIS Mock AIME 2024-2025 | 91.4% | 100% |
| ProofBench | 18% | 83% |
| LMArena Math | 1406 | 1472 |
| Omni-MATH | 64.7% | — |
| MATH Level 5 | 98.1% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Erdős | — | 0% |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GPT-5.6 Sol leads
GPT-5: 56.5 (#37), GPT-5.6 Sol: 64.3 (#16)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| GPQA Diamond | 86.2% | 93.5% |
| SimpleQA Verified | 50.1% | 69.7% |
| Vectara Hallucination Rate | 14.7% | 12.4% |
| LMArena Expert | 1420 | 1517 |
| Humanity's Last Exam | 25.3% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.3% | — |
| GPQA (HELM) | 79.2% | — |
Multimodal GPT-5.6 Sol leads
GPT-5: 46.1 (#12), GPT-5.6 Sol: 48.9 (#8)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| LMArena Vision | 1232 | 1281 |
| GeoBench | 81% | — |
| VPCT | 66% | — |
| Blueprint-Bench 2 | — | 33.6% |
| Furniture Assembly | — | 56.7% |
| LMArena Document | — | 1483 |
Multilingual GPT-5.6 Sol leads
GPT-5: 51.5 (#105), GPT-5.6 Sol: 55.4 (#32)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| LMArena Non-English | 1397 | 1450 |
| LMArena Chinese | 1423 | 1523 |
| LMArena French | 1409 | 1475 |
| LMArena German | 1415 | 1476 |
| LMArena Japanese | 1411 | 1475 |
| LMArena Korean | 1361 | 1434 |
| LMArena Russian | 1406 | 1466 |
| LMArena Spanish | 1398 | 1449 |
Instruction Following GPT-5.6 Sol leads
GPT-5: 74.0 (#107), GPT-5.6 Sol: 77.8 (#16)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| LMArena Instruction Following | 1388 | 1480 |
| IFEval | 87.5% | — |
Long Context GPT-5 leads
GPT-5: 69.5 (#2), GPT-5.6 Sol: 45.3 (#42)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| LMArena Longer Query | 1399 | 1479 |
| Fiction.LiveBench | 97.2% | — |
Writing & Preference GPT-5.6 Sol leads
GPT-5: 63.5 (#63), GPT-5.6 Sol: 73.5 (#12)
| Benchmark | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| LMArena Text | 1406 | 1456 |
| LMArena Creative Writing | 1365 | 1450 |
| EQ-Bench Creative Writing | 1627 | 1972 |
| LMArena Multi-Turn | 1426 | 1456 |
| Short-Story Creative Writing | 86% | — |
| WildBench | 85.7% | — |
| EQ-Bench 4 | — | 1250 |
Frequently asked questions
Is GPT-5 better than GPT-5.6 Sol?
GPT-5.6 Sol is the stronger model overall, scoring 64.4 to 50.9 on the Noometry Index. GPT-5 costs 2.3× less per token, which makes it the better buy when GPT-5.6 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-5 or GPT-5.6 Sol?
GPT-5 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-5.6 Sol lists at $4 and $20.
Is GPT-5 or GPT-5.6 Sol better for coding?
GPT-5.6 Sol scores higher on coding benchmarks: 61.1 versus 50.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5.6 Sol does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5 and GPT-5.6 Sol share?
44 benchmarks have published results for both models. GPT-5 has 69 scored results on Noometry and GPT-5.6 Sol has 64.