Model comparison
GPT-6 Sol vs Hunyuan Large Vision
GPT-6 Sol is the stronger model overall, scoring 49.2 to 37.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Hunyuan Large Vision in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 23.8.
Side by side
| GPT-6 Sol | Hunyuan Large Vision | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 49.2 | 37.0 |
| Released | 2026-09-22 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 22 | 13 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 59.6 (#11), Hunyuan Large Vision: 37.6 (#176)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Coding | 1453 | 1307 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 33.5 (#49), Hunyuan Large Vision: —
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| GDP.pdf | 28% | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 49.3 (#34), Hunyuan Large Vision: 23.8 (#160)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1257 |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
Math GPT-6 Sol leads
GPT-6 Sol: 35.8 (#135), Hunyuan Large Vision: 32.8 (#184)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Math | 1404 | 1269 |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 43.0 (#87), Hunyuan Large Vision: 33.7 (#191)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Expert | 1449 | 1250 |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal GPT-6 Sol leads
GPT-6 Sol: 47.6 (#9), Hunyuan Large Vision: 35.1 (#79)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Vision | — | 1180 |
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 51.0 (#113), Hunyuan Large Vision: 40.1 (#216)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Non-English | 1389 | 1236 |
| LMArena Chinese | 1416 | 1289 |
| LMArena Russian | 1407 | 1243 |
| LMArena Spanish | 1377 | — |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.4 (#97), Hunyuan Large Vision: 66.0 (#210)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Instruction Following | 1406 | 1250 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.2 (#100), Hunyuan Large Vision: 38.8 (#184)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Longer Query | 1415 | 1279 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 72.3 (#15), Hunyuan Large Vision: 46.7 (#211)
| Benchmark | GPT-6 Sol | Hunyuan Large Vision |
|---|---|---|
| LMArena Text | 1396 | 1263 |
| LMArena Creative Writing | 1392 | 1250 |
| LMArena Multi-Turn | 1405 | 1253 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Hunyuan Large Vision?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 37.0 on the Noometry Index.
Is GPT-6 Sol or Hunyuan Large Vision better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 37.6 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Hunyuan Large Vision share?
12 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Hunyuan Large Vision has 13.