DeepSeek-V4-Flash-0731 is an open-weights Mixture-of-Experts model released under the MIT license, with 284 billion total parameters and 13 billion active parameters. It is available for free commercial use, with paid cloud pricing listed at $0.14 per million input tokens and $0.28 per million output tokens.
DeepSeek released the official version of DeepSeek-V4-Flash-0731 on August 7, 2026, replacing an earlier preview. The model is open under the MIT license, allowing free commercial use. It is a Mixture-of-Experts design with 284 billion total parameters, activating only 13 billion during inference, and supports a context length of 1 million tokens.
Benchmark results show the model surpasses the preview version of the higher-tier DeepSeek-V4-Pro, which is more than five times larger, across all nine agent-based benchmark items. Among open models, it outperformed GLM-5.2 from China in all eight items where scores were published, though it does not reach Anthropic's Claude Opus 4.8 in any item. Third-party tests by Artificial Analysis rate its intelligence on par with Google's Gemini 3.6 Flash, and it outperforms GLM-5.2 in coding and GPT-5.6 Luna in agent performance.
The release came hours after OpenAI cut GPT-5.6 Luna prices by 80 percent. DeepSeek has notified users of a significant price increase for the model, suggesting the low-cost strategy drew demand that strained its computing resources. Community quantized versions are available, including GGUF-format versions from Unsloth in 13 steps ranging from 1-bit at 82.5GB to 8-bit at 162GB. For paid cloud usage, DeepSeek's documentation lists the price at $0.14 per million tokens for input, $0.0028 per million tokens for cached input, and $0.28 per million tokens for output, with prices doubling during peak times.
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DeepSeek's V4 Flash model, popular for its low cost and high benchmark scores, is facing criticism after third-party tests showed it struggling on real-world agent tasks. Composio ran 30 difficult multi-step workflows across four harnesses, with only 6 fully succeeding. The company also raised API prices on August 6, 2026, citing unprecedented demand.
DeepSeek has released DeepSeek-V4-Flash-0731 as an open model under a commercial-use license. The MoE model has 284 billion total parameters and 13 billion active parameters. Third-party tests by Artificial Analysis rate its intelligence on par with Google's Gemini 3.6 Flash, and it outperforms GLM-5.2 in coding and GPT-5.6 Luna in agent performance.
DeepSeek has released the official version of its AI model DeepSeek-V4-Flash-0731, replacing the earlier preview version. The weights are available under the MIT license, allowing free commercial use. The model is a Mixture-of-Experts type with 284 billion total parameters, activating only 13 billion during inference, and supports a context length of 1 million tokens. According to benchmark scores, it surpasses the preview version of the higher-tier DeepSeek-V4-Pro, which is more than five times larger, across all nine agent-based benchmark items. Among open models, it also outperformed GLM-5.2 from China in all eight items where scores were published, though it does not reach Anthropic's Claude Opus 4.8 in any item. Community quantized versions are available, including GGUF-format versions from Unsloth in 13 steps ranging from 1-bit at 82.5GB to 8-bit at 162GB. For paid cloud usage, DeepSeek's documentation lists the price at $0.14 per million tokens for input, $0.0028 per million tokens for cached input, and $0.28 per million tokens for output, with prices doubling during peak times.