Model comparison
GPT-5.4 nano vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 41.9 on the Noometry Index. GPT-5.4 nano costs 8.6× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-5.4 nano scores higher in 1 category and GPT-6 Sol in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 23.8.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 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-5.4 nano | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 41.9 | 49.2 |
| Released | 2026-03-17 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.20 | $2 |
| Output $ / M tokens | $1.25 | $10 |
| Results tracked | 40 | 22 |
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Category by category
Coding GPT-6 Sol leads
GPT-5.4 nano: 43.1 (#82), GPT-6 Sol: 59.6 (#11)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1404 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| ALE-Bench | 1,005 | — |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, GPT-6 Sol: 33.5 (#49)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
GPT-5.4 nano: 23.8 (#159), GPT-6 Sol: 49.3 (#34)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1380 | 1420 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| NYT Connections (extended) | — | 90.1% |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| Epoch Capabilities Index | 145.78 | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.7 (#76), GPT-6 Sol: 35.8 (#135)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1406 | 1404 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-6 Sol leads
GPT-5.4 nano: 41.8 (#94), GPT-6 Sol: 43.0 (#87)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 3.1% | 6.5% |
| LMArena Expert | 1397 | 1449 |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
Multimodal GPT-6 Sol leads
GPT-5.4 nano: 36.0 (#73), GPT-6 Sol: 47.6 (#9)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1196 | — |
| Furniture Assembly | — | 58.3% |
Multilingual GPT-6 Sol leads
GPT-5.4 nano: 48.8 (#136), GPT-6 Sol: 51.0 (#113)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1359 | 1389 |
| LMArena Chinese | 1391 | 1416 |
| LMArena Russian | 1363 | 1407 |
| LMArena Spanish | 1368 | 1377 |
| LMArena French | 1396 | — |
| LMArena German | 1368 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1321 | — |
Instruction Following GPT-6 Sol leads
GPT-5.4 nano: 72.1 (#139), GPT-6 Sol: 74.4 (#97)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1362 | 1406 |
Long Context GPT-6 Sol leads
GPT-5.4 nano: 41.6 (#131), GPT-6 Sol: 43.2 (#100)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1365 | 1415 |
Writing & Preference GPT-6 Sol leads
GPT-5.4 nano: 55.9 (#137), GPT-6 Sol: 72.3 (#15)
| Benchmark | GPT-5.4 nano | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1372 | 1396 |
| LMArena Creative Writing | 1313 | 1392 |
| LMArena Multi-Turn | 1382 | 1405 |
| EQ-Bench Creative Writing | — | 2125 |
Frequently asked questions
Is GPT-5.4 nano better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 41.9 on the Noometry Index. GPT-5.4 nano costs 8.6× 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-5.4 nano or GPT-6 Sol?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-5.4 nano or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 43.1 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-5.4 nano and GPT-6 Sol share?
14 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and GPT-6 Sol has 22.