Alibaba launches Qwen3.8-Omni-Flash: agent-first omni-modal model with 1M context
johnseach · x · 2026-09-18
Qwen released Qwen3.8-Omni-Flash, its first omni-modal model built around agentic capabilities: native text/image/audio/video input, up to 1M-token context, and tool orchestration for workflows like auto-editing vlogs and video recaps. Qwen claims audio-video performance approaching Gemini 3.8 Flash, with +19.5 points average on agent benchmarks (WildClawBench-MM & UniClawBench). Priced at $0.15/M input tokens, $0.47/M output ($0.016/M with implicit cache); compatible with DashScope and OpenAI protocols, with a Qwen-MM-Plugins companion for agent frameworks.
More from coding & agent
- Autonomous to roll out Harness v2 agent command center update next week — dee_hw · 2026-11-04
- Hugging Face Ships atif-scan 0.8.16 to Flag Reward Hacking in Agent Traces — yb2698 · 2026-11-04
- Dev builds open-source native iCloud apps for Windows and Linux solo with Claude Code — Your_Karma_Landlord · 2026-11-04
- Mem0's local FAISS adapter deletes old memory before validating the replacement — izgorodin · 2026-11-04
- Why AI systems leak PII: masking treated as text replacement, not data classification — arpit_bhayani · 2026-11-04
- Memory without reasoning is just a filing cabinet: the case for an agent cognitive layer — jackalop211 · 2026-11-04