深度求索（DeepSeek）于7月31日正式发布DeepSeek-V4-Flash-0731模型的API公测版本12。该模型拥有304亿参数1，在Artificial Analysis Intelligence Index评测中获得50分2，与GPT-5.6 Luna性能相当，但单任务成本低约60%2。
在定价方面，DeepSeek-V4-Flash-0731的输入价格为每百万tokens 0.14美元，输出价格为每百万tokens 0.27美元1，成为当前性价比最优的模型之一1。与参数量更大的428亿参数模型MiniMax M3相比，该新模型在Intelligence Index中排名更靠前1。此外，DeepSeek为其自有API提供约98%的缓存命中折扣，远超业界90%的标准折扣水平2。在性能提升方面，V4-Flash-0731相比4月发布的V4-Flash版本提升10分，比V4 Pro版本高出6分2。
DeepSeek released its latest model, DeepSeek-V4-Flash-0731, on July 31st, 2026, featuring 304 billion parameters and enhanced agent capabilities 1. The model is priced at $0.14 per million tokens for input and $0.27 per million tokens for output, positioning it as one of the most cost-effective options currently available 12.
The official API entered public testing on July 31st, with independent benchmark institutions Artificial Analysis and Arena.ai simultaneously releasing updated test results 2. According to Artificial Analysis, the model achieves an Intelligence Index score of 50, matching the performance of GPT-5.6 Luna while delivering approximately 60% lower per-task costs 2. The V4-Flash-0731 variant improves 10 points over the April 2026 version of DeepSeek-V4-Flash and 6 points above DeepSeek-V4-Pro 2. In Frontend Code Arena rankings, DeepSeek-V4-Flash-High secured 1,586 points, placing seventh overall and third among open-category competitors 2.
DeepSeek's per-task cost remains lower than GPT-5.6 Luna even if OpenAI reduces its pricing by 80% 2. Additionally, DeepSeek offers approximately 98% cache hit discounts on its proprietary API, substantially exceeding the industry standard of 90% 2. Artificial Analysis ranked the model ahead of MiniMax M3, a 428-billion-parameter competitor 1.
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