Step 3.5 Flash
Step 3.5 Flash is an open-source foundation model engineered for advanced reasoning and agentic capabilities with exceptional efficiency. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token, achieving a generation throughput of 100–300 tokens per second. This design allows it to rival the reasoning depth of top-tier proprietary models while maintaining the agility required for real-time interaction.
Step 3.5 Flash is an open-source foundation model engineered for advanced reasoning and agentic capabilities with exceptional efficiency. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token, achieving a generation throughput of 100–300 tokens per second. This design allows it to rival the reasoning depth of top-tier proprietary models while maintaining the agility required for real-time interaction.
- 01Deep reasoning at speed with 3-way Multi-Token Prediction (MTP-3)
- 02Robust engine for coding and agentic tasks with scalable reinforcement learning framework
- 03Efficient long-context processing with 256K context window using Sliding Window Attention (SWA)
- 04Accessible local deployment on high-end consumer hardware