DeepSeek V4.1-Flash-1017 boosts agent scores

This is a meaningful efficiency upgrade, especially for developers building autonomous coding workflows, though the headline benchmarks remain DeepSeek-reported and harness-dependent.

• –Terminal-Bench 4.0 rises from 31.2 to 42.3, while DeepSWE reaches 77.0
• –API access remains unchanged through the `deepseek-flash` alias, with 1M-token context and unchanged pricing
• –Reinforcement learning with self-feedback targets complete project generation, including games and 3D scenes
• –Open weights expand local deployment options through Hugging Face, vLLM, SGLang, and other runtimes
• –Developers should independently validate agent reliability before treating benchmark gains as production performance