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Qwen3.8-Max open-weight model matches Kimi K3, DeepSeek V4 Flash

Qwen3.8-Max, a new open-weight model, demonstrates performance comparable to Kimi K3 and DeepSeek-V4 Flash across various benchmarks. It particularly excels in coding and software-related tasks. The model's weights are scheduled for release next week, with pricing set at $2.0 per million tokens for input and $6.0 per million tokens for output, plus $0.25 per million tokens for implicit caching. AI

IMPACT This release contributes to the open-weight model ecosystem, offering a new option for developers and researchers.

RANK_REASON Release of a new open-weight model with benchmark performance comparisons. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.8-Max open-weight model matches Kimi K3, DeepSeek V4 Flash

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/davidthesong ·

    Qwen3.8-Max matches Kimi K3 and DeepSeek V4 Flash

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vellf2/qwen38max_matches_kimi_k3_and_deepseek_v4_flash/"> <img alt="Qwen3.8-Max matches Kimi K3 and DeepSeek V4 Flash" src="https://preview.redd.it/14mqdzhzb7hh1.png?width=640&amp;crop=smart&amp;auto=webp&amp…