Qwen3.8-Flash-Next: benchmark results

Alibaba's open-weight Qwen3.8-Flash-Next (August 2026), an experimental preview of the Qwen4 architecture with a new hybrid attention design, a 125-billion-parameter MoE activating 6B parameters per token. Provider: Alibaba. Released 2026-08-26. Access: Open.

Aggregate Rating 1798 ± 11, rank #68 of 1640 rated models, from 374 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
BRIDGE Medical Leaderboard - CoT45.92Average Performance (%)100
BRIDGE Medical Leaderboard - Few-Shot56.03Average Performance (%)100
BRIDGE Medical Leaderboard - Zero-Shot46.95Average Performance (%)100
Data Agent Benchmark (Built-in ReAct Agent)70.87Pass@1 (%)100
ERQA72.3Score (%)100
LLM Stats (ClawEval-MM)60.4Score (%)100
SEA-HELM (Burmese) - Causal Reasoning83.9Normalized Score100
SEA-HELM (Burmese) - Global MMLU Lite81.25Normalized Score100
SEA-HELM (English) - Knowledge77.84Normalized Score100
SEA-HELM (English) - MMLU Redux92.44Normalized Score100
SEA-HELM (English) - MuSR84.16Normalized Score100
SEA-HELM (Filipino) - Global MMLU Lite86.16Normalized Score100

Interactive version: theaggregate.ai/model?slug=qwen3-8-flash-next · How It Works · Data refreshed daily, snapshot 2026-10-13.