The Right-Sized LLM Benchmark Cheapest LLM that's good enough.

Qwen 3.5 Flash at a glance

Good enough on 14/52 tasks at the 90% bar. Best value on 1 task. Doesn't qualify on any: Content Summarization & Synthesis, Long-form Content Generation.

Provider
Alibaba Cloud (DashScope)
Model name
qwen3.5-flash
Cost mode:
Qualifies on
14 / 52 tasks (at 90% bar)
Best value on
1 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)Research Query Generation — quality 8.05, 1.0x the cost of the best-value good-enough optionEngagement Reply Review — quality 9.71, 8.5x the cost of the best-value good-enough optionActivity Feed Blurb Generation — quality 8.34, 9.1x the cost of the best-value good-enough optionSocial Post Promotion — quality 8.46, 5.6x the cost of the best-value good-enough optionS-1 TOC Extraction — quality 8.77, 1.1x the cost of the best-value good-enough optionLanguage Detection — quality 9.99, 16.5x the cost of the best-value good-enough optionTopic Cluster Naming — quality 7.87, 2.2x the cost of the best-value good-enough optionEngagement Triage — quality 8.35, 9.1x the cost of the best-value good-enough optionPrompt Adaptation — quality 8.11, 3.6x the cost of the best-value good-enough optionX Post Selection — quality 8.51, 2.7x the cost of the best-value good-enough optionSEC S-1 Chunk Analysis — quality 8.48, this model IS the best-value good-enough option★Claim Refinement — quality 7.80, 5.1x the cost of the best-value good-enough optionImage Prompt Generation — quality 8.48, 5.3x the cost of the best-value good-enough optionTopic-to-Section Assignment — quality 8.26, 2.7x 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
SEC S-1 Chunk Analysis ★Financial Analysis & Trading Decisions92%RANKEDbest value
Research Query GenerationInfrastructure & Utility94%MEDIUM1x
S-1 TOC ExtractionStructured Data & Fact Extraction93%MEDIUM1.1x
Topic Cluster NamingTopic Organization & Clustering90%HIGH2.2x
X Post SelectionRelevance, Classification & Matching97%HIGH2.7x
Topic-to-Section AssignmentTopic Organization & Clustering92%HIGH2.7x
Prompt AdaptationInfrastructure & Utility91%RANKED3.6x
Claim RefinementInfrastructure & Utility92%HIGH5.1x
Image Prompt GenerationInfrastructure & Utility92%RANKED5.3x
Social Post PromotionSocial & Promotional Content95%RANKED5.6x
Engagement Reply ReviewRelevance, Classification & Matching98%RANKED8.5x
Activity Feed Blurb GenerationSocial & Promotional Content95%HIGH9.1x
Engagement TriageRelevance, Classification & Matching94%RANKED9.1x
Language DetectionRelevance, Classification & Matching99%RANKED17x

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.