Model comparison
GPT-6.1 Sol vs Hunyuan Standard 2025 02 10
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 37.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Hunyuan Standard 2025 02 10 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 35.6.
Side by side
| GPT-6.1 Sol | Hunyuan Standard 2025 02 10 | |
|---|---|---|
| Provider | OpenAI | Tencent |
| Noometry Index | 65.6 | 37.9 |
| Released | 2026-09-29 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Hunyuan Standard 2025 02 10: 37.1 (#197)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Coding | 1487 | 1270 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Hunyuan Standard 2025 02 10: —
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Hunyuan Standard 2025 02 10: 25.0 (#154)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1466 | 1264 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Hunyuan Standard 2025 02 10: 35.6 (#179)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Math | 1464 | 1274 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Hunyuan Standard 2025 02 10: 34.2 (#197)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Expert | 1502 | 1248 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Hunyuan Standard 2025 02 10: —
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Hunyuan Standard 2025 02 10: 41.7 (#203)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1438 | 1262 |
| LMArena Chinese | 1477 | 1319 |
| LMArena Russian | 1455 | 1258 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Hunyuan Standard 2025 02 10: 65.5 (#219)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1245 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Hunyuan Standard 2025 02 10: 39.5 (#173)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1465 | 1301 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Hunyuan Standard 2025 02 10: 47.2 (#214)
| Benchmark | GPT-6.1 Sol | Hunyuan Standard 2025 02 10 |
|---|---|---|
| LMArena Text | 1447 | 1274 |
| LMArena Creative Writing | 1432 | 1242 |
| LMArena Multi-Turn | 1449 | 1275 |
Frequently asked questions
Is GPT-6.1 Sol better than Hunyuan Standard 2025 02 10?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 37.9 on the Noometry Index.
Is GPT-6.1 Sol or Hunyuan Standard 2025 02 10 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 37.1 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Hunyuan Standard 2025 02 10 share?
12 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Hunyuan Standard 2025 02 10 has 12.