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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.