Atlas

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Qwen3.8-Flash-Next

Alibaba · 180B parameters

Alibaba's open multimodal preview of the Qwen4 architecture, combining gated DeltaNet, sparse attention, mixture-of-experts layers and n-gram embeddings. It supports optional thinking and is distinct from hosted Qwen3.8-Flash; the card documents 262,144 native context tokens and a YaRN serving recipe extending to 1,000,000. Muon and AdamW are used for different weight categories.

Benchmark scores

BenchmarkScore
AA-Briefcase Elo1587
AA-Briefcase v1.1 Elo1574
AA-LCR v1.179.7
AA-Omniscience Index-9.7
AA-Omniscience v1.1 Accuracy23.5
AA-Omniscience v1.1 Hallucination Rate46.8
AA-Omniscience v1.1 Index-12.2
Agents' Last Exam - release-reported pass rate, subset unspecified24.3
Agents' Last Exam - release-reported score, subset unspecified51.2
AndroidWorld - release-reported mobile use84.5
Arena Code WebDev — Brand & Marketing1634
Arena Code WebDev — Consumer Product1560
Arena Code WebDev — Content Creation Tools1570
Arena Code WebDev — Data & Analytics1571
Arena Code WebDev — Frontend1648
Arena Code WebDev — Fullstack1611
Arena Code WebDev — Gaming1693
Arena Code WebDev — HTML1598
Arena Code WebDev — React1655
Arena Code WebDev — Reference-Based Design1631
Arena Code WebDev — Simulations1644
Artificial Analysis Intelligence Index v4.339.9
Artificial Analysis Intelligence Index v4.3.239.8
Artificial Analysis Omniscience Accuracy24.5
Artificial Analysis Omniscience Hallucination Rate45.3
Artificial Analysis Openness Index38.9
Artificial Analysis Progress Index v1320
AutomationBench-AA 1.0.655.9
BRIDGE Medical (chain-of-thought)45.9
BRIDGE Medical (few-shot)56.0
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