Provider
OpenAI
Model name
gpt-5.4-mini
Last benchmarked
Qualified on
3 / 51 tasks (at the 90% bar)
Best value on
0 tasks

Good enough on 3/51 tasks at the 90% bar. Best value on 0 tasks. Doesn't qualify on any: Structured Data & Fact Extraction, Financial Analysis & Trading Decisions, Infrastructure & Utility, Long-form Content Generation, Content Summarization & Synthesis, Topic Organization & Clustering.

Cost vs quality across all tasks, as of 15 August 2026

0%25%50%75%100%8910Quality score (8–10)Cost-efficiency vs best value (1.0 = best value)X Post Selection — quality 8.11, 3.1x the cost of the best-value good-enough optionLanguage Detection — quality 9.91, 4.3x the cost of the best-value good-enough optionActivity Feed Blurb Generation — quality 8.58, 3.8x 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, as of 15 August 2026

TaskCategoryQuality (% of best)ConfidenceOverpay
X Post SelectionRelevance, Classification & Matching92%MEDIUM3.1x
Activity Feed Blurb GenerationSocial & Promotional Content98%RANKED3.8x
Language DetectionRelevance, Classification & Matching98%RANKED4.3x

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.