# GPT-5 Mini vs GPT-6 Sol

> GPT-6 Sol is the stronger model overall, scoring 61.8 to 41.8 on the Noometry Index. GPT-5 Mini costs 5.8× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-mini-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 36

## Summary

- They share 36 benchmarks with published results for both. GPT-5 Mini scores higher in 1 category and GPT-6 Sol in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 23.9.
- The biggest single-benchmark swing is ARC-AGI-2: 4.4% for GPT-5 Mini and 89.6% for GPT-6 Sol.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 41.8 | 61.8 |
| Rank | 128 | 12 |
| Context | 400K | 1.05M |
| Input $/M | $0.25 | $2 |
| Output $/M | $2 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5 Mini: 40.1 (#146)
- GPT-6 Sol: 60.1 (#11)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| SciCode | 39.2% | 57.6% |
| LMArena Coding | 1406 | 1447 |
| ALE-Bench | 799.77 | 2,462 |
| SWE-bench Verified | 64.7% | — |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| SWE-bench Verified (bash only) | 59.8% | — |
| LMArena WebDev | — | 1688 |
| SWE-bench Multilingual | 39.7% | — |
| WeirdML | 52.7% | — |
| AlgoTune | 1.38 | — |

## Agentic & Tool Use

- GPT-5 Mini: 31.1 (#70)
- GPT-6 Sol: 37.2 (#36)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| Vending-Bench 2 | -31.18 | 14,428 |
| Terminal-Bench | 34.8% | — |
| APEX-Agents | — | 54.3% |
| Berkeley Function Calling Leaderboard | 55.5% | — |
| GDP.pdf | — | 26.4% |

## Reasoning

- GPT-5 Mini: 23.9 (#168)
- GPT-6 Sol: 74.0 (#9)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| ARC-AGI-2 | 4.4% | 89.6% |
| ARC-AGI-1 | 54.3% | 95.5% |
| CritPt | 0% | 30.9% |
| LMArena Hard Prompts | 1380 | 1418 |
| Mystery Game Puzzles | 10% | 56% |
| DTBench | 80.5% | 97.3% |
| LMCA | 34.2% | 59.1% |
| Epoch Capabilities Index | 145.52 | 162.72 |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 90.1% |
| Chess Puzzles | 30% | — |
| EnigmaEval | 8.2% | — |
| EBR-Bench | — | 53.3% |
| ForecastBench | 61 | — |

## Math

- GPT-5 Mini: 46.7 (#69)
- GPT-6 Sol: 87.2 (#7)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 46.7% | 89.8% |
| FrontierMath Tier 4 | 12.2% | 90% |
| OTIS Mock AIME 2024-2025 | 86.7% | 100% |
| ProofBench | 9% | 83% |
| LMArena Math | 1378 | 1402 |
| Omni-MATH | 72.2% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 27.2% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |

## Knowledge

- GPT-5 Mini: 45.6 (#86)
- GPT-6 Sol: 64.8 (#15)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | 75% | 94.3% |
| SimpleQA Verified | 21.6% | 60.7% |
| Vectara Hallucination Rate | 12.9% | 6.5% |
| LMArena Expert | 1379 | 1439 |
| Humanity's Last Exam | 19.4% | — |
| MMLU-Pro | 83.5% | — |
| Confabulations | 13.3% | — |
| GPQA (HELM) | 75.6% | — |

## Multimodal

- GPT-5 Mini: 35.6 (#85)
- GPT-6 Sol: 47.6 (#10)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1202 | 1245 |
| VPCT | 40.2% | — |
| Blueprint-Bench 2 | — | 36.9% |
| Furniture Assembly | — | 58.3% |

## Multilingual

- GPT-5 Mini: 48.9 (#137)
- GPT-6 Sol: 50.5 (#118)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1363 | 1385 |
| LMArena Chinese | 1385 | 1405 |
| LMArena French | 1386 | 1410 |
| LMArena German | 1366 | 1390 |
| LMArena Japanese | 1341 | 1385 |
| LMArena Korean | 1308 | 1341 |
| LMArena Russian | 1362 | 1401 |
| LMArena Spanish | 1355 | 1384 |

## Instruction Following

- GPT-5 Mini: 76.2 (#46)
- GPT-6 Sol: 74.5 (#94)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1357 | 1412 |
| IFEval | 92.7% | — |

## Long Context

- GPT-5 Mini: 41.9 (#132)
- GPT-6 Sol: 43.1 (#108)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1355 | 1411 |
| Fiction.LiveBench | 69.4% | — |

## Writing & Preference

- GPT-5 Mini: 55.2 (#148)
- GPT-6 Sol: 71.9 (#18)

| Benchmark | GPT-5 Mini | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1373 | 1395 |
| LMArena Creative Writing | 1325 | 1378 |
| EQ-Bench Creative Writing | 1313 | 2125 |
| LMArena Multi-Turn | 1363 | 1412 |
| Short-Story Creative Writing | 83.1% | — |
| WildBench | 85.5% | — |

## FAQ

### Is GPT-5 Mini better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 41.8 on the Noometry Index. GPT-5 Mini costs 5.8× 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 Mini or GPT-6 Sol?

GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GPT-5 Mini or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 40.1 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 Mini and GPT-6 Sol share?

36 benchmarks have published results for both models. GPT-5 Mini has 60 scored results on Noometry and GPT-6 Sol has 45.