Latent Space tests NaiveAI's fast Naive-N0.5-Flash model
11/11/2026 — 11/11, 03:18·1 sources (all)·1 reports (all)
Key takeaways
- Latent Space tested NaiveAI's new open-weight model Naive-N0.5-Flash, which claims 2,100 tokens per second and could top the Artificial Anal…
- the model is further trained from Xiaomi's MiMo-V2.5 and paired with NaiveAI's in-house NaiveRT inference engine.
Background & analysis
On 2026-11-11 at 02:56 UTC, Latent Space published a hands-on review of Naive-N0.5-Flash, a new open-weights model from the Chinese company NaiveAI that targets AI coding tasks. The model is tuned to maximize tokens per second, generating 2100 tokens per second, and Latent Space said it could potentially top Artificial Analysis's speed rankings. In its tests, coding quality held up against DeepSeek. NaiveAI built the model by continuing training from Xiaomi's MiMo-V2.5 and pairs it with its in-house NaiveRT inference engine. The post also marks the launch of a new series focused on unbiased reviews of new models and products, with an invitation to readers to submit suggestions to tips@latent.space.
AI-generated from 1 reports · updated 3 days ago
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Latent Space put Naive-N0.5-Flash, a new open-weights coding model from Chinese company NaiveAI, through hands-on tests. The model targets roughly 2,100 tokens per second and could top Artificial Analysis's speed rankings, while its coding quality held up against DeepSeek in the review. It is built on continued training of Xiaomi's MiMo-V2.5 and paired with NaiveAI's own NaiveRT inference engine.
Latent SpaceAI score 54
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