Model comparison
GPT-5.4 mini vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 44.8 on the Noometry Index. GPT-5.4 mini costs 2.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-5.4 mini scores higher in 3 categories and GPT-6 Sol in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 30.3.
- The biggest single-benchmark swing is NYT Connections (extended): 61.8% for GPT-5.4 mini and 90.1% for GPT-6 Sol.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 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 mini | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 44.8 | 49.2 |
| Released | 2026-03-17 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.75 | $2 |
| Output $ / M tokens | $4.50 | $10 |
| Results tracked | 46 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Sol leads
GPT-5.4 mini: 45.0 (#67), GPT-6 Sol: 59.6 (#11)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| FrontierCode | 27% | 49.3% |
| LMArena WebDev | 1397 | 1692 |
| LMArena Coding | 1438 | 1453 |
| DeepSWE | — | 68.8% |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use GPT-6 Sol leads
GPT-5.4 mini: 29.6 (#74), GPT-6 Sol: 33.5 (#49)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
GPT-5.4 mini: 30.3 (#77), GPT-6 Sol: 49.3 (#34)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 61.8% | 90.1% |
| LMArena Hard Prompts | 1424 | 1420 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Epoch Capabilities Index | 148.83 | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.4 (#63), GPT-6 Sol: 35.8 (#135)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1418 | 1404 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.4 (#62), GPT-6 Sol: 43.0 (#87)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 6.5% |
| LMArena Expert | 1434 | 1449 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
Multimodal GPT-6 Sol leads
GPT-5.4 mini: 39.0 (#51), GPT-6 Sol: 47.6 (#9)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1245 | — |
| Furniture Assembly | — | 58.3% |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 52.1 (#94), GPT-6 Sol: 51.0 (#113)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1405 | 1389 |
| LMArena Chinese | 1446 | 1416 |
| LMArena Russian | 1417 | 1407 |
| LMArena Spanish | 1403 | 1377 |
| LMArena French | 1440 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1375 | — |
| LMArena Korean | 1369 | — |
Instruction Following Too close to call
GPT-5.4 mini: 74.3 (#99), GPT-6 Sol: 74.4 (#97)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1405 | 1406 |
Long Context Too close to call
GPT-5.4 mini: 42.9 (#107), GPT-6 Sol: 43.2 (#100)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1407 | 1415 |
Writing & Preference GPT-6 Sol leads
GPT-5.4 mini: 64.2 (#56), GPT-6 Sol: 72.3 (#15)
| Benchmark | GPT-5.4 mini | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1411 | 1396 |
| LMArena Creative Writing | 1370 | 1392 |
| EQ-Bench Creative Writing | 1665 | 2125 |
| LMArena Multi-Turn | 1429 | 1405 |
Frequently asked questions
Is GPT-5.4 mini better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 44.8 on the Noometry Index. GPT-5.4 mini costs 2.4× 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 mini or GPT-6 Sol?
GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-5.4 mini or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 45.0 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 mini and GPT-6 Sol share?
18 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and GPT-6 Sol has 22.