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Open-weight Qwen multimodal MoE model with about 3B active parameters, a 262K-token context, optional reasoning and text and image input.
| Inferensleverandør | Suverenitet | Kjører i | Inn / ut per 1M | Status | Lås |
|---|---|---|---|---|---|
| L3 | 0,25 / 1,50€ | Tilkoblet | |||
| L0 | 0,09 / 0,86€ | Tilkoblet |
14 bruksområder klassifisert av kuratoren. Notatet forklarer hvorfor.
The family is described as built for agentic coding, and this variant combines tool-calling with extended thinking for coding workflows that require reasoning and actions.
Tool-calling is explicitly supported, making the model suitable for applications that invoke structured functions.
Extended-thinking mode is a direct architectural fit for multi-step planning, and tool-calling supports carrying plans into action.
The 262,144-token context window supports questions over long documents, while vision capability enables handling visual document inputs.
Tool-calling support and extended-thinking mode provide direct capabilities for selecting and coordinating tools across multi-step workflows.
Vision capability supports interpreting screenshot inputs, but no screenshot-specific benchmark is available.
The Qwen3.6 family is described as built for agentic coding, providing relevant coding signal, but no completion benchmark is available for this variant.
The family description identifies agentic coding as a design focus, and the 262,144-token context can accommodate large code contexts; no code-review benchmark is provided.
The 262,144-token context window supports working with extensive source material and long outputs, though no writing benchmark is supplied.
Tool-calling support can drive browser actions, while extended thinking can help sequence them; no browser-specific benchmark is provided.
A 262,144-token context window allows summarisation over large inputs; no summarisation-specific benchmark is available.
Innhentede tall, ikke våre egne evalueringer. Persentilene er mot hele Stav-katalogen.
Beregnet fra aa-intelligence-index, gpqa-diamond, aa-engineering-index, aa-coding-index, livecodebench, terminal-bench-v4, ifbench, aa-lcr.
curl https://api.stav.ai/v1/chat/completions \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3-6-35b-a3b",
"reasoning_effort": "high",
"messages": [{"role": "user", "content": "Hello!"}]
}'→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level – nivået forespørselen ble betjent på