Compare / qwen3-vl-4b-instruct vs Claude Opus 4.7
qwen3-vl-4b-instruct vs Claude Opus 4.7
10 results from 2 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | qwen3-vl-4b-instruct | Claude Opus 4.7 |
|---|---|---|---|
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 5.70 | 40.7 |
| Artificial Analysisreported | GPQA Diamond% of questions | 37.1% | 91.4% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 3.6% | 42.3% |
| Artificial Analysisreported | IFBench% of instructions | 31.8% | 58.6% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 14.0% | 78.7% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 0.0% | 54.5% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 23.4% | 88.6% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 40.0% | 1.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.29 | 0.41 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 12.6 | 61.4 |
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.