A Latent Space test of Naive-N0.5-Flash found that the open-weights coding model could finish answers faster than two popular “flash” rivals even when it spent more time reasoning. The model builds on Xiaomi’s MiMo-V2.5 and pairs additional training with NaiveAI’s own inference engine.
The test compared NaiveAI with DeepSeek V4.1 Flash 1017 and GLM 5.3 Flash on 30 questions drawn from three difficulty levels, then gave the models identical app-building prompts. The reviewers found that NaiveAI’s harder answers used more reasoning time but still completed sooner overall. They also reported a slightly higher cost per question, making the trade-off most relevant where latency matters more than the lowest possible price.
The result is not a clean independent speed ranking. DeepSeek and GLM throughput came from OpenRouter, while NaiveAI’s numbers were measured server-side, and the sample contained only 30 text questions per model. The published code and task details make the test useful, but buyers should repeat it with their own workloads and provider configuration.