# NaiveAI releases Naive-N0.5-Flash, a 309B open-weight MoE model

Digest AI · Generative AI & Models · published 2026-09-27T18:48:03Z

Canonical: https://digestai.news/story/naiveai-releases-naive-n0-5-flash-a-309b-open-weight-moe-model

## Summary

NaiveAI has released Naive-N0.5-Flash, an open-weight Mixture-of-Experts (MoE) model with 309B total parameters and 15.5B active parameters. Designed for coding and AI research and development, the model features a native 1M-token context window achieved through a hybrid of Sliding-Window Attention (SWA) and DeepSeek Sparse Attention (DSA), eliminating the need for full-attention layers. The weights are available under the MIT license, and an API is offered with pricing of $0.10 per million input tokens, $0.40 per million output tokens, and $0.01 per million cache read tokens.

The model builds on the MiMo-V2.5 base and underwent 3.25T tokens of multi-stage training to adapt to its sparse attention architecture. NaiveAI’s inference system, NaiveRT, supports FP8 mixed-precision inference on NVIDIA GPUs, delivering up to 2,000 tokens per second in Ultrafast mode. The release includes technical details on the hybrid attention stack, which uses a 128-token SWA window and DSA selecting the top 2,048 tokens for backbone attention.

Evaluations were conducted using Claude Code 2.1.207 with a 1M-token context window. The model is benchmarked against systems like GPT-5.6-Sol, Opus-5.5, and GLM-5.3 on tasks including SWE-Bench Pro, Terminal-Bench 2.1, and MLE-bench-30. NaiveAI acknowledges the contributions of the Xiaomi MiMo, DeepSeek, and SGLang teams to the development of the model and its infrastructure.

## Key points

- NaiveAI released Naive-N0.5-Flash, a 309B MoE model with 15.5B active parameters under MIT license.
- The model supports a native 1M-token context window using hybrid Sliding-Window and Sparse Attention.
- API pricing is set at $0.10 per million input tokens and $0.40 per million output tokens.

## Why it matters

This release provides a high-performance, open-weight option for developers needing long-context coding capabilities. Its MIT license and competitive API pricing lower barriers for integrating advanced AI R&D tools into local or cloud environments.

## Sources

1. [Naive-N0.5-Flash - 309B-A15.5B](https://huggingface.co/NaiveAI/Naive-N0.5-Flash) (huggingface.co, 2026-09-27, primary source)

## Cite

Digest AI, "NaiveAI releases Naive-N0.5-Flash, a 309B open-weight MoE model", 27 September 2026, https://digestai.news/story/naiveai-releases-naive-n0-5-flash-a-309b-open-weight-moe-model

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