GPT-5.4 Nano at a glance
Good enough on 9/52 tasks at the 90% bar. Best value on 2 tasks. Best fit for: Financial Analysis & Trading Decisions. Doesn't qualify on any: Social & Promotional Content, Topic Organization & Cluste
Cost vs quality across all tasks
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
| Task | Category | Quality (% of best) | Confidence | Overpay |
|---|---|---|---|---|
| Trading Recommendation ★ | Financial Analysis & Trading Decisions | 91% | HIGH | best value |
| Content Summarization ★ best | Content Summarization & Synthesis | 100% | RANKED | best value |
| Language Detection | Relevance, Classification & Matching | 99% | RANKED | 1.5x |
| SEC S-1 Chunk Analysis | Financial Analysis & Trading Decisions | 92% | RANKED | 1.5x |
| Engagement Triage | Relevance, Classification & Matching | 94% | RANKED | 1.6x |
| Onboarding Chapter Prompt Adaptation | Infrastructure & Utility | 90% | HIGH | 2.3x |
| Executive Summary Generation | Content Summarization & Synthesis | 94% | HIGH | 2.5x |
| Author Voice Generation | Long-form Content Generation | 90% | RANKED | 4.6x |
| Structured Output Extraction | Structured Data & Fact Extraction | 96% | HIGH | 19x |
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.