Compare / Ministral 3 14B 2512 vs GPT-5.6 Sol
Ministral 3 14B 2512 vs GPT-5.6 Sol
17 results from 3 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | Ministral 3 14B 2512 | GPT-5.6 Sol |
|---|---|---|---|
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 14.4 | 78.3 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 6.00 | 47.0 |
| Artificial Analysisreported | GPQA Diamond% of questions | 57.2% | 94.1% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 4.6% | 49.5% |
| Artificial Analysisreported | IFBench% of instructions | 32.0% | 72.7% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 26.3% | 84.0% |
| Artificial Analysisreported | SciCode% of problems | 23.8% | 57.8% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 9.7% | 89.5% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 39.9% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 4.5% | 65.9% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 6.6% | 44.3% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 27.2% | 85.1% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 24.0% | 1.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.32 | 0.37 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 31.4 | 65.4 |
| Vectara Hallucination Leaderboardreported | Answer rate% of documents | 99.6% | 99.1% |
| Vectara Hallucination Leaderboardreported | Hallucination rate% of summaries | 19.4% | 12.4% |
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.