DeepSeek · China · Anthropic · Claude · Crypto Briefing
DeepSeek launched V4.1-Flash on September 10, 2026
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It uses a sparse mixture-of-experts design, or MoE, where only about 8 billion parameters are active when the model processes input and roughly 16 billion kick in when it generates output.
Key facts
- On October 17, 2026, DeepSeek pushed an update, labeled V4.1-Flash-1017, under the same API
- DeepSeek charges $0.15 per million input tokens and $0.60 per million output tokens during off-peak hours
- When a request reuses content the system has already seen, input costs can fall to between $0.003 and $0.006 per million tokens
- On the DeepSWE v1.1 benchmark, a software engineering test, V4.1-Flash reportedly scored 74.2
Summary
China's open-weight model posts top-tier coding scores while undercutting closed rivals on price and speed. DeepSeek ’s latest model was reportedly tested at 90% lower cost while pushing out more than 237 tokens per second, according to a widely shared post on X. The model in question is DeepSeek-V4.1-Flash, and it is quietly forcing an uncomfortable question onto every pricing team at the big AI labs: what exactly are customers paying extra for? DeepSeek launched V4.1-Flash on September 10, 2026. It also ships with a 1 million token context window, allowing the model to hold a large amount of text in working memory at once, such as a sprawling codebase or a stack of lengthy documents.