gpt-5.5
84.7%±2.1%
82.6%CI86.8%
aiqbench · LLM benchmarks
Benchmarks
- Sources
- 8
- Entries tracked
- 22,310
- Last sync
- 33 min33 minutes ago
All sources syncing normally
- Arena · Text· 6 hours ago
- Arena · WebDev· 6 hours ago
- Arena · Vision· 6 hours ago
- Arena · Agent· 6 hours ago
- GPQA Diamond· 33 minutes ago
- SWE-bench· 33 minutes ago
- Terminal-Bench· 33 minutes ago
- ARC-AGI-2· 33 minutes ago
Filter by org:
Released:
gpt-5.4-2026-03-05
81.8%±2.0%
79.8%CI83.8%
gpt-5.3-codex
78.4%±2.2%
76.2%CI80.6%
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | gpt-5.5 | OpenAI | Sep 2026 | $5 / $30 | 84.7% | 82.6%–86.8% | #9–34 | ||
| 2 | gpt-5.4-2026-03-05 | OpenAI | Sep 2026 | $2.50 / $15 | 81.8% | 79.8%–83.8% | #12–29 | ||
| 6 | gpt-5.3-codex | OpenAI | Oct 2026 | $1.75 / $14 | 78.4% | 76.2%–80.6% | #28–236 | ||
| 8 | gpt-5.2-codex | OpenAI | Oct 2026 | $1.75 / $14 | 66.5% | 63.5%–69.6% | #37–370 | ||
| 9 | gpt-5.2-2025-12-11 | OpenAI | Dec 2025 | $1.75 / $14 | 64.9% | 62.2%–67.7% | #34–92 | ||
| 12 | gpt-5.1-codex-mini | OpenAI | Oct 2026 | $0.25 / $2 | 61.6% | 59.7%–63.5% | #54–425 | ||
| 13 | gpt-5.1-codex-max | OpenAI | Oct 2026 | $1.25 / $10 | 60.4% | 57.8%–63.1% | #52–375 | ||
| 17 | gpt-5-2025-08-07 | OpenAI | Aug 2025 | $1.25 / $10 | 49.6% | 46.7%–52.5% | #64–149 | ||
| 18 | gpt-5.1-2025-11-13 | OpenAI | Nov 2025 | $1.25 / $10 | 47.6% | 44.8%–50.4% | #45–242 | ||
| 21 | gpt-5-codex | OpenAI | — | — | 44.3% | 41.6%–47.0% | #17–142 | ||
| 29 | gpt-5-mini-2025-08-07 | OpenAI | Aug 2025 | $0.25 / $2 | 34.8% | 32.1%–37.5% | #126–343 | ||
| 39 | gpt-5-nano-2025-08-07 | OpenAI | Aug 2025 | $0.05 / $0.40 | 21.8% | 19.0%–24.6% | #132–399 |
Showing Terminal-Bench exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.