Step 3.5 Flash

Step 3.5 Flash is an advanced artificial intelligence model designed for fast thinking and complex tasks. It offers top-tier intelligence while being open and efficient for users.

Benefits

Step 3.5 Flash can think deeply and quickly, processing information at speeds of 100 to 300 tokens per second. This allows it to handle complicated, multi-step problems with immediate responses. It is built to be strong in coding and for use in AI agents, with a system that helps it improve over time. The model can also handle very long texts, up to 256,000 tokens, in a cost-effective way. Plus, it can be run on powerful home computers, keeping your data private.

Use Cases

This AI is great for agentic tasks, meaning it can act as an independent agent to perform actions. It is also highly capable in coding tasks, as shown by its performance on coding benchmarks. Its ability to process long contexts makes it suitable for analyzing large codebases or documents. Users can access Step 3.5 Flash through cloud APIs or deploy it locally on compatible hardware for enhanced privacy and control.

Pricing

Access to Step 3.5 Flash is available via Cloud API through supported providers. OpenRouter currently offers a free trial.

Vibes

Step 3.5 Flash offers performance comparable to leading private AI systems, providing an open and efficient alternative. It has demonstrated strong results in benchmarks for reasoning, coding, and agentic abilities, often outperforming or matching other models with significantly more parameters.

Additional Information

Step 3.5 Flash is built using a Sparse Mixture-of-Experts (MoE) transformer architecture. It has approximately 196 billion total parameters but uses around 11 billion active parameters for each token generation, making it efficient. The model supports a 256K context window and uses a special technique called Multi-Token Prediction (MTP) to predict multiple tokens at once, speeding up its response time. It can be run locally using various backends like vLLM, SGLang, Hugging Face Transformers, and llama.cpp. The project encourages community feedback and contributions for future development. The model has seen over 103,000 downloads in the past month.