Model
GPT-5.5
Default frontier GPT for coding, computer use, research, and knowledge work
Compare providers (sorted by listed input price)
43 of 46 providers publish a price for GPT-5.5. The cheapest full-context option is Xpersona at $1.5/$12 per M — 63% below OpenAI's own price. Listed prices span 6.8× for identical weights.
Best price history
Daily lowest published price across live providers. A lower line is better for the buyer.
- Best input /M
- $0.188unchanged
- Best output /M
- $1.13unchanged
- Provider coverage
- 51
- 49 at the start · 24 snapshots
Published best prices are unchanged.
24 daily snapshots collected from Aug 21, 2026 through Sep 14, 2026. A price chart will appear after the first real move.
Price badge
https://www.vaanalytics.in/badge/openai/gpt-5.5.svgLive SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.
Recent changes
Changelog →- new modelvia 302ai · Sep 9, 2026
- contextvia nano-gpt · Sep 7, 2026
- context: 1M → 1.05M tokens
- input: 1M → 1.05M tokens
- repricedvia requesty · Aug 28, 2026
- input: $4.50 → $5
- output: $27 → $30
- cache_read: $0.45 → $0.5
- tiers: [object Object] → [object Object]
- repricedvia requesty · Aug 28, 2026
- input: $4.95 → $5.50
- output: $29.70 → $33
- cache_read: $0.495 → $0.55
- repricedvia cloudflare-ai-gateway · Aug 25, 2026
- context: 1.05M → 1M tokens
- cache_read: $0.5 → —
- tiers: [object Object] →
- new providervia opper · Aug 23, 2026
Benchmarks
- SWE-Bench Pro ↗(resolve rate)report ↗Unclassified source58.6
- Terminal-Bench ↗(success rate)report ↗Unclassified source78.2
- SWE-Atlas Codebase QnA(score)report ↗Independent45.43
- SWE-Atlas Refactoring(score)report ↗Independent44.79
- SWE-Atlas Test Writing(score)report ↗Independent42.59
- Artificial Analysis Coding Agent Index ↗(average pass@1)report ↗Independent65.3
- SWE-Atlas Codebase QnA(pass@1)report ↗Independent80.8
- SWE-Bench Pro ↗(pass@1)report ↗Independent30.9
- Terminal-Bench ↗(pass@1)report ↗Independent84.1
- Artificial Analysis Coding Agent Index ↗(average pass@1)report ↗Independent60.4
- SWE-Atlas Codebase QnA(pass@1)report ↗Independent79.1
- SWE-Bench Pro ↗(pass@1)report ↗Independent26.2
- Terminal-Bench ↗(pass@1)report ↗Independent75.8
- Artificial Analysis Coding Agent Index ↗(average pass@1)report ↗Independent57.8
- SWE-Atlas Codebase QnA(pass@1)report ↗Independent75
- SWE-Bench Pro ↗(pass@1)report ↗Independent24.9
- Terminal-Bench ↗(pass@1)report ↗Independent73.4
- Terminal-Bench ↗(success rate)report ↗Unclassified source82.7
- GPQA Diamond ↗(accuracy)report ↗Unclassified source93.6
- Humanity's Last Exam ↗(accuracy)report ↗Unclassified source41.4
- Humanity's Last Exam ↗(accuracy)report ↗Unclassified source52.2
- OSWorld-Verified ↗(success rate)report ↗Unclassified source78.7
- BrowseComp ↗(accuracy)report ↗Unclassified source84.4
- MMMU Pro ↗(accuracy)report ↗Unclassified source81.2
- ARC-AGI-2 ↗(accuracy)report ↗Unclassified source85
- FrontierMath ↗(accuracy)report ↗Unclassified source51.7
- FrontierMath ↗(accuracy)report ↗Unclassified source35.4
- GDPval(wins or ties)report ↗Unclassified source84.9
- MCP Atlas(success rate)report ↗Unclassified source75.3
- Toolathlon(success rate)report ↗Unclassified source55.6
- τ²-Bench Telecom(success rate)report ↗Unclassified source98
Scores a lab published about its own model are claims, not measurements. Rankings elsewhere on this site use independently measured scores only.
Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.