GPT-5.5 (archived)
Good enough on 27/51 tasks at the 90% bar. Best value on 0 tasks. Best fit for: Financial Analysis & Trading Decisions, Infrastructure & Utility, Long-form Content Generation.
Cost vs quality across all tasks, as of 22 August 2026
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 22 August 2026
| Task | Category | Quality (% of best) | Confidence | Overpay |
|---|---|---|---|---|
| Vetted News Site Selection | Relevance, Classification & Matching | 98% | MEDIUM | 3.3x |
| Social Post Promotion | Social & Promotional Content | 93% | HIGH | 11x |
| Topic Report Relevance Scoring | Relevance, Classification & Matching | 94% | HIGH | 13x |
| Engagement Reply Draft | Social & Promotional Content | 98% | HIGH | 20x |
| SEC Filing Analysis best | Financial Analysis & Trading Decisions | 100% | RANKED | 20x |
| Activity Feed Blurb Generation | Social & Promotional Content | 98% | RANKED | 26x |
| Topic-to-Section Assignment | Topic Organization & Clustering | 97% | HIGH | 31x |
| Investment Panel Voting | Financial Analysis & Trading Decisions | 97% | HIGH | 31x |
| Topic Cluster Naming | Topic Organization & Clustering | 96% | RANKED | 32x |
| Topic Grouping and Client Matching | Relevance, Classification & Matching | 96% | MEDIUM | 34x |
| X Post Selection | Relevance, Classification & Matching | 99% | RANKED | 35x |
| Trading Recommendation | Financial Analysis & Trading Decisions | 97% | RANKED | 38x |
| Language Detection | Relevance, Classification & Matching | 99% | RANKED | 38x |
| Research Query Generation best | Infrastructure & Utility | 100% | MEDIUM | 42x |
| Research Query Validation best | Infrastructure & Utility | 100% | HIGH | 42x |
| Author Matching | Relevance, Classification & Matching | 99% | HIGH | 43x |
| Author Living-Person Safety Check best | Relevance, Classification & Matching | 100% | MEDIUM | 61x |
| Image Prompt Generation | Infrastructure & Utility | 90% | RANKED | 64x |
| Executive Summary Generation | Content Summarization & Synthesis | 100% | MEDIUM | 66x |
| Engagement Triage | Relevance, Classification & Matching | 93% | RANKED | 69x |
| SEC S-1 Chunk Analysis | Financial Analysis & Trading Decisions | 98% | RANKED | 87x |
| Translation | Infrastructure & Utility | 92% | RANKED | 90x |
| Author Voice Generation | Long-form Content Generation | 95% | MEDIUM | 106x |
| Onboarding Chapter Prompt Adaptation best | Infrastructure & Utility | 100% | RANKED | 109x |
| Prompt Adaptation | Infrastructure & Utility | 94% | RANKED | 110x |
| Claim-Referenced Analyst Writing | Long-form Content Generation | 95% | HIGH | 136x |
| Structured Output Extraction | Structured Data & Fact Extraction | 92% | MEDIUM | 221x |
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.