GPT-5.4 nano
OpenAI's smallest GPT-5.4 nano model, documented in the official OpenAI API model guide for very low-latency or economical GPT-5 family routing.
Provider
OpenAI
Model family
OpenAI GPT
Small LLM
Cost tier
Nano
Status
Current
Why teams choose it
Broad capability envelope
Useful when the same stack must cover chat, multimodal inputs, tooling, or structured-output shapes without juggling many SKUs.
Long-context analysis
Helps teams summarize, compare, and extract insights from long documents without losing important nuance.
Coding and tools
Works well for code assistance, tool calling, and agent workflows where instructions must stay consistent across steps.
Cost-efficient routing
Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.
Tradeoffs to know
- Not a replacement for flagship or standard GPT-5.4 reasoning lanes.
When not to use this
- Not ideal for sprawling research or brittle multi-hop reasoning unless you constrain scope tightly.
- Avoid for regulated or high-stakes outputs without evaluations that mimic your tooling, data, and review process.
- Promote traffic to heavier tiers inside the family when workflows need richer tools and longer horizons.
Technical specs
- Inputs
- text, image
- Outputs
- text
- Capabilities
- low latency, tool use, classification, cost efficiency
- License
- Proprietary API
- Model string
gpt-5-4-nano
Benchmarks
No benchmark data yet.
OpenAI GPT family lineup
Current models
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