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Large Language ModelsAI Coding AssistantsSiliconANGLE AIPublished: Oct 19, 2026, 10:01 JST

DeepSeek ships V4.1-Flash-1017 with 77% DeepSWE v1.1 score

DeepSeek ships V4.1-Flash-1017 with 77% DeepSWE v1.1 score

3 Key Points

  1. What happened

    DeepSeek released DeepSeek-V4.1-Flash-1017, a “minor update” that reduces task execution time and output length, with its own testing showing 77% of tasks resolved on DeepSWE v1.1, up from 74.2% for the September version.

  2. Why it matters

    The gain puts DeepSeek's own score above Anthropic's Claude Opus 5 at 74% on the same test, though seven of the 11 benchmarks DeepSeek published still favor Anthropic's model.

WHO IT HITSSoftware engineers and agent builders who pick models by coding-benchmark scores and API price now have a cheaper option that DeepSeek says edges past Claude Opus 5 on one widely cited software-engineering test, though not on most others.

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Context & Analysis

The update lands a little over five weeks after DeepSeek launched the original V4.1-Flash as the smallest model in a new architecture family. Price was the selling point in September, with off-peak API rates starting at 15 cents per million uncached input tokens — and Bloomberg reported that shares of Chinese rivals MiniMax and Alibaba fell in Hong Kong after that release.

The timing also follows a nearly five-hour API outage on Oct. 15 that Yicai Global counted among DeepSeek's worst this year. DeepSeek apologized and gave users credits pegged to what they had spent the week before, and said it would remove single points of dependency in its systems; some experts quoted by Bloomberg blamed a shortage of computing capacity. Against that backdrop, the model update and the new Search and Fetch APIs read as an effort to keep agent builders engaged while the company works through reliability concerns.

FAQ
How much does the updated model cost?
API customers reach it through the existing deepseek-flash model ID at unchanged prices, with off-peak rates from the September launch starting at 15 cents per million uncached input tokens.
Where can I use DeepSeek-V4.1-Flash-1017?
It is live now in DeepSeek's web and mobile apps, and the weights are on Hugging Face under the MIT license. API customers need Harness version 0.2.1-rc.1 or later, per the change log.
What new developer tools came with the release?
DeepSeek opened its in-house search engine to outside developers through a Search API returning up to 50 ranked web results per query, plus a Fetch API that converts a single web page to Markdown.
SiliconANGLE AIRead Original Article

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