Model comparison
GPT-6 Sol vs Qwen1.5-14B
GPT-6 Sol is the stronger model overall, scoring 61.8 to 32.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and Qwen1.5-14B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 32.4.
- Qwen1.5-14B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Qwen1.5-14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 61.8 | 32.7 |
| Released | 2026-09-22 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 45 | 17 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Qwen1.5-14B: 33.1 (#263)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1447 | 1138 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1688 | — |
| SciCode | 57.6% | — |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Qwen1.5-14B: —
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Qwen1.5-14B: 21.4 (#223)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1418 | 1113 |
| ARC-AGI-2 | 89.6% | — |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 30.9% | — |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| Epoch Capabilities Index | 162.72 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Qwen1.5-14B: 32.4 (#215)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1402 | 1125 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 83% | — |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Qwen1.5-14B: 29.8 (#232)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1439 | 1094 |
| GPQA Diamond | 94.3% | — |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
| MMLU | — | 68.6% |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Qwen1.5-14B: —
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 50.5 (#118), Qwen1.5-14B: 30.7 (#262)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1385 | 1095 |
| LMArena Chinese | 1405 | 1147 |
| LMArena French | 1410 | 1116 |
| LMArena German | 1390 | 1043 |
| LMArena Japanese | 1385 | 1019 |
| LMArena Russian | 1401 | 1046 |
| LMArena Spanish | 1384 | 1085 |
| LMArena Korean | 1341 | — |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.5 (#94), Qwen1.5-14B: 56.8 (#271)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1412 | 1102 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.1 (#108), Qwen1.5-14B: 33.7 (#257)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1411 | 1113 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Qwen1.5-14B: 33.6 (#276)
| Benchmark | GPT-6 Sol | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1395 | 1128 |
| LMArena Creative Writing | 1378 | 1091 |
| LMArena Multi-Turn | 1412 | 1110 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Qwen1.5-14B?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 32.7 on the Noometry Index.
Is GPT-6 Sol or Qwen1.5-14B better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 33.1 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Qwen1.5-14B share?
16 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Qwen1.5-14B has 17.