Model comparison
GPT-4o mini vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 25.4 on the Noometry Index. GPT-4o mini costs 15× 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-4o mini scores higher in 0 categories and GPT-6 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 8.7.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-4o mini | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 25.4 | 49.2 |
| Released | 2024-07-18 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.60 | $10 |
| Results tracked | 60 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Sol leads
GPT-4o mini: 21.6 (#330), GPT-6 Sol: 59.6 (#11)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1290 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1692 |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use GPT-6 Sol leads
GPT-4o mini: 27.2 (#95), GPT-6 Sol: 33.5 (#49)
Reasoning GPT-6 Sol leads
GPT-4o mini: 8.7 (#343), GPT-6 Sol: 49.3 (#34)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1267 | 1420 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 90.1% |
| Chess Puzzles | 0% | — |
| EBR-Bench | — | 53.3% |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Epoch Capabilities Index | 126.56 | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math GPT-6 Sol leads
GPT-4o mini: 9.9 (#307), GPT-6 Sol: 35.8 (#135)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1267 | 1404 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge GPT-6 Sol leads
GPT-4o mini: 17.7 (#279), GPT-6 Sol: 43.0 (#87)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1235 | 1449 |
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| Vectara Hallucination Rate | — | 6.5% |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal GPT-6 Sol leads
GPT-4o mini: 25.3 (#117), GPT-6 Sol: 47.6 (#9)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
| Furniture Assembly | — | 58.3% |
Multilingual GPT-6 Sol leads
GPT-4o mini: 42.2 (#194), GPT-6 Sol: 51.0 (#113)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1266 | 1389 |
| LMArena Chinese | 1264 | 1416 |
| LMArena Russian | 1275 | 1407 |
| LMArena Spanish | 1276 | 1377 |
| LMArena French | 1296 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
Instruction Following GPT-6 Sol leads
GPT-4o mini: 62.1 (#234), GPT-6 Sol: 74.4 (#97)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1259 | 1406 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-6 Sol leads
GPT-4o mini: 39.1 (#181), GPT-6 Sol: 43.2 (#100)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1289 | 1415 |
Writing & Preference GPT-6 Sol leads
GPT-4o mini: 39.7 (#243), GPT-6 Sol: 72.3 (#15)
| Benchmark | GPT-4o mini | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1286 | 1396 |
| LMArena Creative Writing | 1268 | 1392 |
| EQ-Bench Creative Writing | 873 | 2125 |
| LMArena Multi-Turn | 1285 | 1405 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 25.4 on the Noometry Index. GPT-4o mini costs 15× 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-4o mini or GPT-6 Sol?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-4o mini or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 21.6 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 128K.
How many benchmarks do GPT-4o mini and GPT-6 Sol share?
14 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and GPT-6 Sol has 22.