GLM-5.3 with 1M context on inference tuned for coding agents. Reflex classifiers that catch the failures traces miss. Plus the agent toolkit: search (WarpGrep), edits (Fast Apply), context (Compact). One OpenAI-compatible API.
DeepSeek releases **V4.1 Flash**, a 763B model with a 552B backbone, on Morph’s API as *morph-dsv41flash*. It features a Mixture-of-Experts (MoE) architecture, 8B active parameters for input, 16B for output, and supports 1M-token context, image input, and native tool calling. The model defaults to 'thinking' with adjustable compute budgets. Pricing starts at **$0.12 per million input tokens**, **$0.008 for cached responses**, and **$0.80 per million output tokens**.
Morph demonstrates a code-editing AI model achieving **10,000 tokens per second** on AWS infrastructure. Binance reports **50–70% productivity gains** using the model, while Morph’s architecture leverages **EC2 P5 instances and Amazon SageMaker** for deployment. The case study highlights performance benchmarks and cloud-based scalability for AI-driven development tools.
MorphLLM developed WarpGrep, a high-speed code retrieval model that leverages reinforcement learning (RL) for parallelized code search. The system matches the performance of leading coding models while reducing processing time by up to fivefold. WarpGrep automates the labor-intensive task of locating relevant code snippets efficiently.