Unverified50% confidenceBenchmarkExact time
Qwen3.8-Flash-Next surpasses the Qwen3.8-27B dense model in performance on multiple benchmarks while reducing inference and training overhead.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/6/2026
First Seen
Valid until: 12/5/2026
Sources
Related Entities
Related Claims
UnverifiedAccording to official data, Qwen3.8-Flash-Next surpasses Claude Opus 4.6 Max in both text and multimodal domains with only 6B activated parameters, and its training cost is only one-ninth of Qwen3.7-Plus.76% similarUnverifiedQwen2.5-3B-Instruct, Phi-3.5-mini (3.8B), and Llama-3.2-3B-Instruct are the three models with the best overall performance at small parameter scales at the end of 2024.71% similarUnverifiedQwen2.5-72B approaches the performance of Llama-3.1-405B across multiple benchmarks.71% similarUnverifiedQwen 3.6's performance in general programming capability, development skills, multi-turn agent-enhanced capability, and agent task testing leads Qwen 3.5 in many aspects and approaches or exceeds Claude 4.5 Opus on certain metrics.68% similar
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