Qwen3.8 27B reaches 52 on Artificial Analysis Intelligence Index
Artificial Analysis lists Qwen3.8 27B at 52 on its Intelligence Index, placing the 27-billion-parameter open-weights model among the stronger small models in its August comparison. The benchmark page also lists a 256,000-token context window. The score is a comparative benchmark result, not a guarantee of equivalent performance on every production workload.
Artificial Analysis lists Qwen3.8 27B with a score of 52 on its Intelligence Index, and Simon Willison separately highlighted the same result. The benchmark page identifies the model as an open-weights 27-billion-parameter system with a 256,000-token context window. The index combines nine evaluations, so the score is a useful comparison point rather than a universal deployment verdict. Teams considering local use should still test latency, safety, tool use, and task quality against their own workloads.
Key Points
- 1Artificial Analysis lists Qwen3.8 27B at 52 on its Intelligence Index.
- 2The benchmark page identifies the model as open weights with 27 billion parameters and a 256,000-token context window.
- 3A benchmark composite should be supplemented with workload-specific evaluation before deployment.
Scoring Rationale
A newly reported benchmark result for a smaller open-weights model is useful to practitioners evaluating local and self-hosted options, while the article keeps the result bounded to the published index.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
