DeepSeek updates V4.1-Flash and publishes the weights
The benchmark, speed and output-length claims are DeepSeek's own, including a coding chart it ran with its chosen harness; no independent rerun is recorded here. The release notes give no new API price for the model and no hardware requirements for running it locally.
What was claimed?
DeepSeek released V4.1-Flash-1017, an updated checkpoint of the V4.1-Flash model it released on September 10. It says the model is live on its website, app and API, and the weights are on Hugging Face and ModelScope. The Hugging Face model card says the repository and weights are licensed under the MIT License. DeepSeek also opened its Search and Fetch APIs to all users at $0.75 per 1,000 calls for each endpoint.
What does the evidence support?
Company claim, independent confirmation unresolved
DeepSeek describes the update as a Pareto improvement: better benchmark results with faster task completion and shorter outputs. If that holds, the same work costs less. MIT-licensed weights let developers run and modify the model themselves with few licence conditions.
What are the limits?
The benchmark, speed and output-length claims are DeepSeek's own, including a coding chart it ran with its chosen harness; no independent rerun is recorded here. The release notes give no new API price for the model and no hardware requirements for running it locally.
Claim or evidence date: 2026-10-17. Last verified: .
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