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OpenAI's closed GPT-5.4 Pro reasoning model for complex analysis and very long text and image inputs, with configurable reasoning effort.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €27.22 / 163.34+5 rates | Online |
9 use cases classified by the curator. The note says why.
The Pro tier naming indicates a reasoning-oriented variant intended for extended multi-step work; no published benchmarks or context window are on the card, so this rests on tier signal rather than measured evidence.
Extended-reasoning orientation of the Pro tier fits root-cause analysis, but this is inferred from tier naming, not from a curated capability profile.
Reasoning-tier model is a plausible reviewer for code, but no coding benchmark or context-window data is published on this card.
Reasoning-tier model is a reasonable candidate for analytical tasks; no structured-data or code-execution capability is flagged on the card.
Reasoning-tier model should handle question answering over supplied documents, but the context window is unpublished, which limits confidence for long-document inputs.
Function-calling suitability is inferred from the model's frontier tier and vendor lineage; the card does not confirm structured tool-call support.
The Pro tier suggests strength in cross-source reasoning and synthesis, though no curated evaluation supports this yet.
Sourced numbers, not our own evaluations. Percentiles are against the whole Stav catalogue.
curl https://api.stav.ai/v1/chat/completions \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5.4-pro",
"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