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OpenAI's fastest, lightest GPT-5 tier for high-volume classification, summarisation, and short completions — 400K context, vision and file input, mandatory reasoning traces.
Sovereignty note. GPT-5 nano is built by OpenAI, a US-based creator, so it carries CLOUD Act exposure and is not positioned as a Sovereign, EU-resident option. It is a closed-weight model accessed only through hosted APIs — OpenAI's own API and Microsoft Azure's AI Foundry — rather than downloadable weights.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €0.05 / 0.36+2 rates | Online |
15 use cases classified by the curator. The note says why.
Purpose-built for high-volume classification workloads with 400K context and low latency — nano tier is explicitly designed for this.
400K context window supports long-document summarisation, and this tier is explicitly positioned for short completions and summarisation at scale.
Fast, cheap tier suited to high-volume tagging tasks where throughput and cost-per-token dominate over deep reasoning.
Fast, low-cost tier with tool-calling is well-matched to high-volume triage and routing decisions requiring quick classification.
Vision and file input are supported at 400K context, making it viable for OCR-style document tasks, though not the flagship reasoning tier.
Short-completion oriented design and large context window support routine email drafting at low cost.
400K context and structured reasoning traces support extraction tasks, though nano's lighter capability tier trades accuracy for speed versus larger GPT-5 variants.
Tool-calling support present, but this is the lightest-weight tier so complex function-calling logic may exceed its reliability compared to larger GPT-5 variants.
Vision input supported, making basic image Q&A feasible, though nano is the family's lowest-capability tier.
400K context handles long transcripts; summarisation-focused tier makes this a reasonable low-cost option for meeting notes.
Extended-thinking is present but this is the family's smallest, fastest tier — complex multi-step planning is better served by higher-capability GPT-5 variants like gpt-5.6-sol.
Tool-calling is supported, but the nano tier is optimized for cheap short completions, not the sustained multi-tool reasoning chains orchestration demands.
Sourced numbers, not our own evaluations. Percentiles are against the whole Stav catalogue.
Computed from aa-intelligence-index, gpqa-diamond, aa-engineering-index, aa-coding-index, livecodebench, terminal-bench-v4, ifbench, aa-multilingual-index, aa-lcr, helm-safety-bbq, helm-safety-harm-bench, helm-safety-anthropic-red-team, helm-safety-simple-safety-tests, helm-safety-xstest, do-not-answer, realtoxicityprompts.
curl https://api.stav.ai/v1/chat/completions \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5-nano-2025-08-07",
"reasoning_effort": "high",
"messages": [{"role": "user", "content": "Hello!"}]
}'→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level — the rung the request was served at