Unverified50% confidenceFactExact time
Qwen3.8-Max-0902 has undergone in-depth post-training targeting Coding and Cowork scenarios.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/6/2026
First Seen
Valid until: 12/5/2026
Sources
Related Entities
Related Claims
UnverifiedBoth DeepSeek-R1 and the Qwen series of models have publicly discussed the effectiveness of the code-as-reward training paradigm.73% similarVerifiedDeepSeek-Coder employs a Fill-in-the-Middle (FIM) training strategy, making it well-suited for code completion scenarios.73% similarUnverifiedThe tester's core conclusion is that on local Agentic Coding tasks, Qwen3 27B can already match DeepSeek V4 Flash, and is even stronger in certain scenarios.70% similarUnverifiedDeepSeek developed its own high-level language TileLang, used it to rewrite CUDA operators with smaller code size and higher efficiency, and V3 training has largely stopped relying on the NVIDIA ecosystem.67% similarUnverifiedThe Qwen2.5 series (including Math variants) and DeepSeek both provide comprehensive tool-calling support and support local deployment.67% similar
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