Provider
Alibaba Cloud (DashScope)
Model name
qwen3.8-flash
Cost mode:
Qualifies on
3 / 52 tasks (at 90% bar)
Best value on
0 tasks

Cost vs quality across all tasks

0%25%50%75%100%78910Quality score (7–10)Cost-efficiency vs best value (1.0 = best value)Atomic Fact Claim Extraction — quality 7.65, 5.3x the cost of the best-value good-enough optionLanguage Identification — quality 9.93, 2.4x the cost of the best-value good-enough optionSocial Post Portfolio Selection — quality 8.31, 15.1x the cost of the best-value good-enough option

within ~1.3× of the best-value model · 1.3–2× · >2× · ★ this model is the best-value pick on that task. Top-right = best quadrant. Only tasks where this model qualifies at the 90% bar are plotted.

Per-task breakdown

TaskCategoryQuality (% of best)ConfidenceOverpay
Language IdentificationRelevance, Classification & Matching99%RANKED2.4x
Atomic Fact Claim ExtractionStructured Data & Fact Extraction96%MEDIUM5.3x
Social Post Portfolio SelectionRelevance, Classification & Matching95%HIGH15x

Overpay — how much more you pay by running this model instead of the best-value model that clears the quality bar on that task (marked ★). "16x" means you overpay 16× — the same output for 16× the best-value good-enough option; ★ means this model is that option (no overpayment). Confidence — how sure we are about the quality score (more judgments + more agreement = higher confidence): RANKED many independent judges scored this model's outputs and their agreement is very high (most confident) — HIGH many judges have scored it and they mostly agree (well-pinned) — MEDIUM enough judges have weighed in to publish, but they disagree more than we'd like (treat with a small grain of salt). LOW-confidence cells are hidden everywhere on the site. See the methodology for the exact thresholds.