Qwen 3 1.7B: benchmark results
Can switch between direct answers and explicit reasoning within the same conversation, without loading another checkpoint. Training covers multilingual dialogue, code and tool use. Provider: Alibaba. Released 2025-04-29. Access: Open.
Aggregate Rating 1409 ± 6, rank #1196 of 1656 rated models, from 905 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| ActTraitBench | 0.19 | G_KD (Global Knowledge-Decision Gap) (self-reported) | 100 |
| LingxiDiagBench (Dynamic, Clinical, APA-Guided + MRD-RAG) - 2-Class Accuracy | 86.2 | Accuracy (%, 0-100) on binary depression-versus-anxiety clas | 100 |
| LingxiDiagBench (Static, Clinical) - Next-Question BLEU | 33.5 | BLEU (%, 0-100, character-level tokens) of the predicted nex | 100 |
| Syslog Severity Classification - Zero-Shot | 33.61 | Accuracy on 9,355 held-out journalctl logs, exact syslog sev | 100 |
| TRACK - Multi-Hop QA (Facts in Context) | 83.6 | Holistic pass (%; multi-hop questions over Wikidata fact cha | 100 |
| EuroEval Ukrainian Summarization - LR SUM UK | 30.85 | chrF3++ (%) | 89 |
| EuroEval Catalan Summarization - Dacsa CA | 38.15 | chrF3++ (%) | 88.3 |
| EuroEval Italian NLU - ScaLA IT | 42.53 | Matthews correlation coefficient (%) | 88 |
| MERA Code - ruHumanEval | 66.59 | pass@1 (%) | 87.7 |
| Syslog Severity Classification - Few-Shot | 43.3 | Accuracy on 9,355 held-out journalctl logs, exact syslog sev | 87.5 |
| EuroEval Polish Summarization - PSC | 24.52 | chrF3++ (%) | 87.1 |
| EuroEval Bosnian Summarization - LR SUM BS | 30.79 | chrF3++ (%) | 86.3 |
Interactive version: theaggregate.ai/model?slug=qwen-3-1-7b · How It Works · Data refreshed daily, snapshot 2026-10-20.