Step 3.5 Flash is StepFun's 196B sparse Mixture of Experts model designed specifically for OpenClaw agents. This open-source foundation model activates only 11B parameters per token while maintaining frontier reasoning capabilities and strong agentic performance.
The model features a 196B parameter sparse MoE architecture with efficient token activation. It delivers solid 74.4% performance on SWE-bench coding tasks and achieves up to 350 tokens per second throughput using MTP-3 optimization. The model provides clean long-context handling capabilities essential for extended agent workflows.
Step 3.5 Flash operates through seamless native integration with OpenClaw agents, making it one of the best open models for running serious agents. It can be easily tested using the free quota on OpenRouter or through the official StepFun API platform.
The primary benefit is efficient agentic performance with high throughput and consistent performance in long agent loops. It serves as a powerful foundation model specifically optimized for AI agent workflows and coding tasks.
Target users include developers building AI agents, particularly those working with OpenClaw frameworks. The model integrates natively with OpenClaw and is available through OpenRouter and StepFun's official API platform.
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Developers building AI agents, particularly those working with OpenClaw frameworks who need efficient, high-performance foundation models for serious agentic workflows.