Qwen3.8 27B
Specifications
- Input
- Output
- Context window
- 262K tokens
- Veröffentlicht
- Aug 2026
Performance
- Speed
- 125 t/s
- TTFT
- —
- Latency
- 79 ms
- Intelligence
- —
Pricing
- Eingabe
- €0.40 per 1M tokens
- Ausgabe
- €2.40 per 1M tokens
€0.10 Cache-Hit
Über dieses Modell
Qwen3.8 27B is a 27B-parameter dense vision-language model built on the Qwen3.5 gated-delta architecture with a vision encoder, supporting a native 262K context window extensible to 1M tokens. It operates in a default thinking mode that can be disabled per request, with adjustable reasoning depth via reasoning_effort (xhigh, medium, low) and preserved thinking context across turns. The model achieves 89.2 on GPQA Diamond, 90.3 on LiveCodeBench v6, 61.7 on SWE-bench Pro, and 84.3 on OSWorld-Verified, demonstrating strong coding, agentic, and multimodal capabilities including native image and video understanding. It is released under the Apache 2.0 license.
Technische Daten
- Fähigkeiten
- Eingabe-Modalitäten
- Ausgabe-Modalitäten
- Reasoning
- Hybrid Standard on
Knowledge horizon
Veröffentlicht Aug 2026
Today
Since release 0 mo
See also
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