Model comparison
GPT-5 Nano vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 33.4 on the Noometry Index. GPT-5 Nano costs 29× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. GPT-5 Nano scores higher in 1 category and GPT-6 Sol in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 16.4.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5 Nano | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 33.4 | 49.2 |
| Released | 2025-08-07 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.05 | $2 |
| Output $ / M tokens | $0.40 | $10 |
| Results tracked | 48 | 22 |
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Category by category
Coding GPT-6 Sol leads
GPT-5 Nano: 33.3 (#248), GPT-6 Sol: 59.6 (#11)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1351 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| SWE-bench Verified (bash only) | 34.8% | — |
| LMArena WebDev | — | 1692 |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use GPT-6 Sol leads
GPT-5 Nano: 25.6 (#99), GPT-6 Sol: 33.5 (#49)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
GPT-5 Nano: 16.4 (#291), GPT-6 Sol: 49.3 (#34)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1420 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| NYT Connections (extended) | — | 90.1% |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |
Math GPT-6 Sol leads
GPT-5 Nano: 29.1 (#221), GPT-6 Sol: 35.8 (#135)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1318 | 1404 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-6 Sol leads
GPT-5 Nano: 35.8 (#166), GPT-6 Sol: 43.0 (#87)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 10.5% | 6.5% |
| LMArena Expert | 1321 | 1449 |
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| GPQA (HELM) | 67.9% | — |
Multimodal GPT-6 Sol leads
GPT-5 Nano: 30.7 (#102), GPT-6 Sol: 47.6 (#9)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
| Furniture Assembly | — | 58.3% |
Multilingual GPT-6 Sol leads
GPT-5 Nano: 45.5 (#167), GPT-6 Sol: 51.0 (#113)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1313 | 1389 |
| LMArena Chinese | 1355 | 1416 |
| LMArena Russian | 1296 | 1407 |
| LMArena Spanish | 1360 | 1377 |
| LMArena German | 1329 | — |
| LMArena Korean | 1269 | — |
Instruction Following Too close to call
GPT-5 Nano: 75.2 (#72), GPT-6 Sol: 74.4 (#97)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1306 | 1406 |
| IFEval | 93.2% | — |
Long Context GPT-6 Sol leads
GPT-5 Nano: 31.3 (#275), GPT-6 Sol: 43.2 (#100)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1313 | 1415 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference GPT-6 Sol leads
GPT-5 Nano: 39.4 (#244), GPT-6 Sol: 72.3 (#15)
| Benchmark | GPT-5 Nano | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1320 | 1396 |
| LMArena Creative Writing | 1250 | 1392 |
| EQ-Bench Creative Writing | 705 | 2125 |
| LMArena Multi-Turn | 1311 | 1405 |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 33.4 on the Noometry Index. GPT-5 Nano costs 29× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Nano or GPT-6 Sol?
GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-5 Nano or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5 Nano and GPT-6 Sol share?
15 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and GPT-6 Sol has 22.