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NaiveAI 实测：2100 tokens/s 推理速度，编程能力对标 DeepSeek

NaiveAI Promises 2,100 Tokens per Second. How Well Does It Code?

Official accountLatent Space (swyx)@Gabriele Beltramo
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Why we picked it

如果你选模型时纠结速度还是质量，这篇实测很有参考价值。作者亲手跑了 NaiveAI，2100 tokens/s 的速度真能保住接近 DeepSeek 的代码水平，做批量推理或实时应用的团队可以重点看看。

NaiveAI 宣称推理速度可达 2100 tokens/s，有望登顶 Artificial Analysis 的速度排行榜。Latent Space 对其进行了上手实测，重点考察生成速度与代码质量的匹配程度。

Body

实测显示，NaiveAI 的速度表现亮眼，在编程任务上的输出质量可以与 DeepSeek 相媲美，并非单纯靠牺牲质量换取速度。团队通过实际编码任务验证了其在高吞吐场景下的可用性。

目前 Artificial Analysis 的速度榜由各家推理优化厂商争夺，NaiveAI 若成绩属实将改变开发者对速度-质量权衡的预期。对需要快速迭代和大规模批处理推理的团队而言，这类高吞吐选项值得纳入评估范围。

Original · Latent Space (swyx)

NaiveAI Promises 2,100 Tokens per Second. How Well Does It Code?

NaiveAI could potentially top Artificial Analysis’s speed rankings. Our hands-on test suggests its coding quality holds up against DeepSeek.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include NaiveAI, DeepSeek, Artificial Analysis, 推理模型.

Source attribution: curated from Latent Space (swyx) (@Gabriele Beltramo).

#NaiveAI#DeepSeek#Artificial Analysis#推理模型#编程助手

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