DeepSeek released V4.1-Flash
DeepSeek has released V4.1-Flash, a multimodal model containing 552 billion total parameters with 16 billion active parameters per token. According to benchmark results reported from DeepSeek, V4.1-Flash narrowly outperforms Opus 5 and GPT-5.6 Sol on the DeepSWE coding benchmark and is published under an open MIT license. Claims are as reported; this summary makes no determination about accuracy or significance.
- First detected
- Sep 10, 2026
- Last updated
- Sep 10, 2026
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Why it matters
Substantial reductions in KV cache memory and sparse parameter activation decrease the hardware infrastructure required for memory-intensive AI agent workflows. Distributing a model with competitive benchmark performance under an open MIT license provides an alternative to proprietary APIs, reducing deployment costs for software engineering and autonomous agent systems.
Coverage
Primary/vendor sources vs independent reporting
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How this developed
Sep 10, 2026
Development detected
New reporting added
New Deepseek model V4.1-Flash cuts memory needs for AI agentsThe DecoderSource
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