Anthropic 发布了 Claude Fable 5，与前代 Opus 4.8 相比，新模型在编码和长时推理等复杂任务上性能显著提升。虽然 Fable 5 的每 token 价格是 Opus 4.8 的两倍，但其增强的功能，尤其是在 SWE-Bench Pro 和 FrontierCode 等基准测试中的表现，表明对于要求苛刻的工作负载，它可能更具成本效益。新模型还具有更低的缓存最小值和一些 API 差异，例如禁用了明确的“思考”参数。 AI
影响 为复杂的推理和编码任务设定了新的性能级别，可能证明专业应用更高的成本是合理的。
排序理由 Anthropic 发布的新模型，包含性能基准测试。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
在 dev.to — Claude Code tag 阅读 →
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<ul> <li><p>Fable 5 costs 10 dollars per million input tokens against 5 for Opus 4.8, output is 50 vs 25</p></li> <li><p>SWE-Bench Pro gap is 11.1 points, and FrontierCode more than doubles at 29.3 vs 13.4</p></li> <li><p>Same API surface with one new 400: explicit thinking disab…
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@ticqgjmquziq/how-does-claude-fable-5-by-anthropic-compare-to-opus-4-8-679d634e33a0?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1980/0*k2o3KK0RyHiLw4nM" width="1980"…
<!-- SC_OFF --><div class="md"><p>I don't need to spend an hour prodding it to get it to do something for it to make 10 mistakes and have to redo it 3 times when bugs come up. I am using at least half as many tokens before. </p> <p>It's cost per token for actually functional code…