Model
GPT-5.4
Agent-ready GPT for coding and computer-use workflows at a lower cost
Compare providers (sorted by listed input price)
40 of 43 providers publish a price for GPT-5.4. The cheapest full-context option is UnoRouter at $1.8/$10.8 per M — 23% below OpenAI's own price. Xpersona 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
- $0.75unchanged
- Best output /M
- $6unchanged
- Provider coverage
- 47
- 46 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-5.4.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 →- contextvia nano-gpt · Sep 7, 2026
- context: 922K → 1.05M tokens
- input: 922K → 1.05M tokens
- contextvia cortecs · Sep 2, 2026
- output: 1.05M → 128K tokens
- repricedvia requesty · Aug 28, 2026
- input: $2.25 → $2.50
- output: $13.50 → $15
- cache_read: $0.225 → $0.25
- tiers: [object Object] → [object Object]
- repricedvia orcarouter · Aug 28, 2026
- input: $5 → $2.50
- output: $22.50 → $15
- repricedvia requesty · Aug 28, 2026
- input: $2.48 → $2.75
- output: $14.85 → $16.50
- cache_read: $0.247 → $0.275
- capabilityvia azure-cognitive-services · Aug 27, 2026
- temperature: false → true
Benchmarks
- SWE-Bench Pro ↗(resolve rate)report ↗Independent59.1
- SWE-Atlas Codebase QnA(score)report ↗Independent40.8
- SWE-Atlas Codebase QnA(score)report ↗Independent36.3
- SWE-Atlas Refactoring(score)report ↗Independent44.29
- SWE-Atlas Test Writing(score)report ↗Independent44.36
- SWE-Atlas Test Writing(score)report ↗Independent40
- Artificial Analysis Coding Agent Index ↗(average pass@1)report ↗Independent53.6
- SWE-Atlas Codebase QnA(pass@1)report ↗Independent72.4
- SWE-Bench Pro ↗(pass@1)report ↗Independent18.4
- Terminal-Bench ↗(pass@1)report ↗Independent69.8
- Artificial Analysis Coding Agent Index ↗(average pass@1)report ↗Independent52.2
- SWE-Atlas Codebase QnA(pass@1)report ↗Independent72.9
- SWE-Bench Pro ↗(pass@1)report ↗Independent18.9
- Terminal-Bench ↗(pass@1)report ↗Independent64.7
- Terminal-Bench ↗(success rate)report ↗Unclassified source75.1
- GPQA Diamond ↗(accuracy)report ↗Unclassified source92.8
- Humanity's Last Exam ↗(accuracy)report ↗Unclassified source39.8
- Humanity's Last Exam ↗(accuracy)report ↗Unclassified source52.1
- OSWorld-Verified ↗(success rate)report ↗Unclassified source75
- BrowseComp ↗(accuracy)report ↗Unclassified source82.7
- GDPval(wins or ties)report ↗Unclassified source83
- ARC-AGI-2 ↗(accuracy)report ↗Unclassified source73.3
- FrontierMath ↗(accuracy)report ↗Unclassified source47.6
- FrontierMath ↗(accuracy)report ↗Unclassified source27.1
- MMMU Pro ↗(accuracy)report ↗Unclassified source81.2
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.