English(EN) Recursive Flint - the "Qwen3.8 35B" we've all been waiting for?

Recursive Flint 编码代理模型挑战 Qwen3.6-35B-A3B 基准测试

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-21 22:55

Recursive Flint，一个新发布的编码代理模型，拥有400亿参数，其中25亿为活跃参数，上下文窗口为262k。据报道，它在 TerminalBench 2.1 和 SWE-bench Pro v2 等基准测试中表现优于 Qwen3.6-35B-A3B。该模型旨在让 GPU 性能较低的用户也能更轻松地使用，有可能取代之前的编码代理领导者。然而，初步报告表明 Ornith-1.5 可能仍保持领先地位，目前仍在调查实现中的小故障。 AI

影响可能降低 GPU 性能较差的用户部署先进编码代理的门槛，挑战现有基准测试。

排序理由知名 AI 实验室发布新模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

Recursive Flint 编码代理模型挑战 Qwen3.6-35B-A3B 基准测试

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 知名 AI 实验室发布新模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 2 days old; Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/returnity · 2026-10-21 22:55

Recursive Flint - 我们一直在等待的“Qwen3.8 35B”？

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xc23iq/recursive_flint_the_qwen38_35b_weve_all_been/"> <img alt="Recursive Flint - the "Qwen3.8 35B" we've all been waiting for?" src="https://external-preview.redd.it/CvzQDny_Lz0hbdj4wWrc-I0pXkhqvM…

本文如何被排名

报道来源 [1]

Recursive Flint - 我们一直在等待的“Qwen3.8 35B”？

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