Model
GPT-5.6 Luna
Cost-efficient GPT-5.6 model for fast, high-volume workloads
Compare providers (sorted by listed input price)
37 of 39 providers publish a price for GPT-5.6 Luna. The cheapest full-context option is DigitalOcean at $0.2/$1.2 per M. Bothub lists lower but caps context at 1.05M.
Best price history
Daily lowest published price across live providers. A lower line is better for the buyer.
- Best input /M
- $0.06▼ 40.0%
- Best output /M
- $0.37▼ 38.3%
- Provider coverage
- 47
- 41 at the start · 24 snapshots
Price badge
https://www.vaanalytics.in/badge/openai/gpt-5.6-luna.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 →- capabilityvia amazon-bedrock · Sep 13, 2026
- structured_output: false → true
- capabilityvia amazon-bedrock · Sep 13, 2026
- structured_output: false → true
- new modelvia amazon-bedrock · Sep 13, 2026
- new modelvia bothub · Sep 11, 2026
- new modelvia amazon-bedrock · Sep 10, 2026
- new modelvia 302ai · Sep 9, 2026
Benchmarks
- SWE-Bench Pro ↗(resolve rate)report ↗Unclassified source62.7
- Terminal-Bench ↗(success rate)report ↗Unclassified source84.7
- DeepSWE(resolve rate)report ↗Unclassified source67.2
- GPQA Diamond ↗(accuracy)report ↗Unclassified source92.3
- FrontierMath ↗(accuracy)report ↗Unclassified source78.6
- BrowseComp ↗(accuracy)report ↗Unclassified source83.3
- OSWorld ↗(success rate)report ↗Unclassified source45.6
- MMMU Pro ↗(accuracy)report ↗Unclassified source78.4
- Agents' Last Examreport ↗Unclassified source50.3
- Toolathlon(success rate)report ↗Unclassified source53.4
- Artificial Analysis Intelligence Index ↗(index score)report ↗Independent51.2
- Artificial Analysis Coding Agent Index ↗(index score)report ↗Independent74.6
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.