Fronset Benchmark

Qwen 3.7 Plus at a glance

Good enough on 21/54 tasks at the Balanced step. Best value on 1 task.

Provider
Alibaba Cloud (DashScope)
Model name
qwen3.7-plus
What the steps mean
Cost mode:
Qualifies on
21 / 54 tasks (at the Balanced step)
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)Factual Claim Refinement — quality 8.30, 7.1x the cost of the best-value good-enough optionMulti Perspective Decision Synthesis — quality 8.26, 4.3x the cost of the best-value good-enough optionBench Hypothesis Post Generation — quality 8.47, 20.7x the cost of the best-value good-enough optionEngagement Opportunity Triage — quality 8.70, 38.8x the cost of the best-value good-enough optionTopic Cluster Labeling — quality 8.13, 57.6x the cost of the best-value good-enough optionSocial Post Portfolio Selection — quality 8.34, 29.7x the cost of the best-value good-enough optionTopic Section Assignment — quality 7.66, 10.3x the cost of the best-value good-enough optionProfile Pool Matching — quality 7.86, 16.3x the cost of the best-value good-enough optionContent To Image Prompt Generation — quality 8.37, 25.5x the cost of the best-value good-enough optionModel Specific Prompt Adaptation — quality 8.54, 10.2x the cost of the best-value good-enough optionVoice Profile Generation — quality 8.95, 12.3x the cost of the best-value good-enough optionPublication Title Package Generation — quality 8.45, 28.9x the cost of the best-value good-enough optionReport Executive Summary Generation — quality 8.19, 6.3x the cost of the best-value good-enough optionLanguage Identification — quality 9.84, 77.9x the cost of the best-value good-enough optionGenerated Content Relevance Scoring — quality 8.73, 20.7x the cost of the best-value good-enough optionSubject Configuration Generation — quality 8.58, 7.2x the cost of the best-value good-enough optionBatch Text Translation — quality 8.92, 16.2x the cost of the best-value good-enough optionTopic Taxonomy Matching — quality 7.74, this model IS the best-value good-enough option★Bench Article Hypothesis Generation — quality 8.41, 1.7x the cost of the best-value good-enough optionResearch Community Selection — quality 7.67, 2.6x the cost of the best-value good-enough optionStructured Output Extraction — quality 9.56, 36.4x 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 Balanced step are plotted.

Per-task breakdown

TaskCategoryQuality (% of best)ConfidenceOverpay
Topic Taxonomy Matching ★Relevance, Classification & Matching91%MEDIUMbest value
Bench Article Hypothesis GenerationEvidence-Grounded Hypothesis Generation96%RANKED1.7x
Research Community SelectionRelevance, Classification & Matching98%MEDIUM2.6x
Multi Perspective Decision SynthesisFinancial Analysis & Trading Decisions94%RANKED4.3x
Report Executive Summary GenerationContent Summarization & Synthesis95%RANKED6.3x
Factual Claim RefinementInfrastructure & Utility96%HIGH7.1x
Subject Configuration Generation bestFinancial Analysis & Trading Decisions100%RANKED7.2x
Model Specific Prompt AdaptationInfrastructure & Utility96%MEDIUM10x
Topic Section AssignmentTopic Organization & Clustering93%MEDIUM10x
Voice Profile GenerationLong-form Content Generation93%RANKED12x
Batch Text TranslationInfrastructure & Utility97%RANKED16x
Profile Pool MatchingRelevance, Classification & Matching90%MEDIUM16x
Generated Content Relevance Scoring bestRelevance, Classification & Matching100%MEDIUM21x
Bench Hypothesis Post GenerationSocial & Promotional Content96%RANKED21x
Content To Image Prompt GenerationInfrastructure & Utility94%RANKED25x
Publication Title Package GenerationContent Summarization & Synthesis92%RANKED29x
Social Post Portfolio SelectionRelevance, Classification & Matching96%RANKED30x
Structured Output ExtractionStructured Data & Fact Extraction96%RANKED36x
Engagement Opportunity TriageRelevance, Classification & Matching98%RANKED39x
Topic Cluster LabelingTopic Organization & Clustering92%MEDIUM58x
Language IdentificationRelevance, Classification & Matching98%RANKED78x

Overpay — how much more you pay by running this model instead of the best-value model that meets the quality step 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.