Cognition Releases SWE-1.7 Model Scoring Near Top Frontier Systems
Cognition says its new software-engineering model was trained from a Kimi K2.7 base, runs at 1,000 tokens per second, and keeps gaining from reinforcement learning.
Cognition says its new SWE-1.7 announcement on X describes its latest software-engineering model as its most capable yet, with benchmark results that the company says land "within a few points" of top frontier systems while running at 1,000 tokens per second. The company's SWE-1.7 blog post says the model was trained from a Kimi K2.7 base and improved through a refined reinforcement-learning recipe. So far, the core technical, performance, and cost-related claims are coming from Cognition's own launch materials.
Cognition announces SWE-1.7 which was trained from Kimi K2.7 base performance looks pretty incredible
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