OpenAI launched GPT-5.4 mini and nano for faster high-volume workloads
OpenAI released GPT-5.4 mini and GPT-5.4 nano on March 17, 2026. GPT-5.4 mini launched across the API, Codex, and ChatGPT, while GPT-5.4 nano launched as an API-only lower-cost variant. OpenAI priced GPT-5.4 mini at $0.75 input / $4.50 output per 1M tokens and GPT-5.4 nano at $0.20 input / $1.25 output per 1M tokens.
Impact summary
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- New smaller GPT-5.4 variants: GPT-5.4 mini and GPT-5.4 nano
- GPT-5.4 mini availability: API, Codex, and ChatGPT
- GPT-5.4 nano availability: API only
- API pricing: GPT-5.4 mini at $0.75 input / $4.50 output per 1M tokens
- API pricing: GPT-5.4 nano at $0.20 input / $1.25 output per 1M tokens
- GPT-5.4 mini supports text and image inputs, tool use, function calling, web search, file search, computer use, and skills
- GPT-5.4 mini context window: 400K tokens
- In Codex, GPT-5.4 mini consumes 30% of GPT-5.4 quota and can be used for subagents
- Benchmark GPT-5.4 mini against your current mid-tier coding and tool-use routes where latency matters.
- Route simpler subagent, extraction, ranking, and classification workloads to GPT-5.4 nano only after validating quality thresholds.
- Update cost policies because GPT-5.4 mini is materially cheaper than GPT-5.4, while GPT-5.4 nano creates a new low-cost API tier for supporting tasks.
Changes
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Recommended Actions
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Benchmark GPT-5.4 mini against your current coding and tool-calling default route on latency-sensitive tasks before promoting it broadly.
Use GPT-5.4 nano for classification, extraction, ranking, and simpler coding subagents only with fallback rules, because it trades capability for speed and cost.
If you use Codex, review whether GPT-5.4 mini subagents can replace heavier models for supporting codebase search, file review, and parallel subtasks.
Sources
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OpenAI says GPT-5.4 mini is available today in the API, Codex, and ChatGPT, while GPT-5.4 nano is API-only.
OpenAI lists GPT-5.4 mini at $0.75 input / $4.50 output per 1M tokens and GPT-5.4 nano at $0.20 input / $1.25 output per 1M tokens.