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Anthropic's frontier reasoning model with a 1M-token context, adjustable reasoning effort, and multimodal input for code, research, and long-document work.
Same model, one lane, your call. Sovereign first, then European-hosted, then routed (typically non-EU). Default endpoint per lane is highlighted.
| Provider | Input / M | Output / M | TTFT | Tok/s | Reliability | Status |
|---|---|---|---|---|---|---|
AnthropicDefault | €4.31 | €21.57 | 2.16 s | 11 | 100.0% | Active |
Pick this model first.
Works — usually a fine pick.
Other models will serve you better.
— None mapped yet.
Fit assertions set by the curator pipeline. 24 use cases mapped.
Model catalogue
Stav speaks the Anthropic Messages API. Point the Anthropic SDK at base_url="https://api.stav.ai/v1" and your existing code keeps working — including cache_control markers and thinking mode, which pass through to Anthropic verbatim. Set STAV_API_KEY and the curl below works.
curl https://api.stav.ai/v1/messages \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-5",
"max_tokens": 256,
"messages": [{"role": "user", "content": "Hello!"}]
}'Already using the OpenAI SDK? The same model is reachable at POST /v1/chat/completions — drop in the slug above as the model field and it works.
Sovereign-EU inference by default; the Smart Router lifecycle penalty drains traffic away from deprecating endpoints automatically. Add X-Stav-App-Id: <uuid> to attribute requests to a registered app.
Inference runs in US on anthropic. The model was created in US as well. Both training and inference fall under US compelled-disclosure regimes (CLOUD Act / FISA 702). Not appropriate for EU regulated-sector workloads without explicit legal sign-off.
Inference and (typically) training both happen under US jurisdiction — both CLOUD Act and FISA Section 702 reach. EU regulated-sector customers cannot use this combination for sensitive data without a derogation / case-by-case legal review.