A Chinese developer has published a hands-on evaluation of DeepSeek V4 Flash 0731, the latest iteration of DeepSeek's fast model. The test covers three key areas: sustained long-form generation (20 rounds of novel writing), the new Responses Agent capability, and four configurable thinking levels. Early results suggest the model maintains coherence over extended outputs, a critical factor for creative writing and complex task automation. The Responses Agent feature appears to offer more structured interaction patterns, potentially simplifying agentic workflows. The four thinking levels provide developers with a trade-off between speed and reasoning depth. While this is a single community test rather than a formal benchmark, it offers a practical glimpse into the model's real-world behavior. For developers evaluating LLM APIs, this signals that DeepSeek is aggressively iterating on both performance and developer-facing features, making it a competitive option to watch.
A developer's hands-on test of DeepSeek V4 Flash 0731 shows strong long-form generation and a new Responses Agent feature with four thinking levels.