Compare / DeepSeek V3.1 Terminus vs GPT-5.6 Sol
DeepSeek V3.1 Terminus vs GPT-5.6 Sol
20 results from 3 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | DeepSeek V3.1 Terminus | GPT-5.6 Sol |
|---|---|---|---|
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,423 | 1,485 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,405 | 1,470 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,420 | 1,489 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,417 | 1,483 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,411 | 1,483 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 43.5 | 78.3 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 14.8 | 47.0 |
| Artificial Analysisreported | GPQA Diamond% of questions | 79.2% | 94.1% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 16.4% | 49.5% |
| Artificial Analysisreported | IFBench% of instructions | 57.0% | 72.7% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 69.3% | 84.0% |
| Artificial Analysisreported | SciCode% of problems | 38.0% | 57.8% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 44.9% | 89.5% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 39.9% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 31.8% | 65.9% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 21.0% | 44.3% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 37.1% | 85.1% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 32.0% | 1.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.37 | 0.37 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 54.0 | 65.4 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.