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Deepseek V4.1 Flash 1017 Sets New Cost‑Performance Benchmark

2 reports2 sources10/17/2026 updated

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Deepseek has released the V4.1 Flash 1017 model, claiming it outperforms larger competitors on agentic and encoding tasks while cutting per‑task costs to roughly $0.10–$0.20. The announcement highlights a new balance between affordability and capability, positioning the model as a cost‑efficient alternative in the competitive LLM landscape. The claim is supported by the company’s own performance metrics, though independent verification remains pending. The move underscores the industry trend toward smaller, more efficient models that can deliver high performance without the expense of larger architectures.

Written with AI from the reporting · updated 10/17/2026

Latest developmentOct 17, 18:33
Deepseek releases V4.1-Flash-1017, beats larger rivals in agentic tasks and cuts per-task costs by over 60%
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  1. 1Unclassified fact stationOct 17, 19:28single sourcereport-time onlyrevised

    Deepseek V4.1 Flash 1017 发布，击败更大竞争对手并大幅降低任务成本

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    The Decoder ↗Report pageRevision 2 · currently revised
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    Oct 17, 18:33
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    Oct 17, 19:28
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Oct 20
  1. Latent Space
    DeepSeek V4.1 Flash 1017 released as open-weight model with 1M token context and MIT license

    Report first recorded Oct 20, 13:31

    DeepSeek released V4.1 Flash 1017, a 552B total/16B active MiE model with a 1M-token context window and MIT license. It is available through DeepSeek's API and major cloud platforms. The model scores 45 on the AA Intelligence Index, tying with GLM-5.3 for second among open-weight models, and shows improved non-hallucination rates on AA-Omniscience. It ranks #1 open model in Code Arena WebDev and Agent Arena. Pricing remains at $0.30/$1.20 per million input/output tokens during peak hours.

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Oct 17
  1. The DecoderRelated fact: single sourceFact occurrence time unverifiedSource report revised
    Deepseek releases V4.1-Flash-1017, beats larger rivals in agentic tasks and cuts per-task costs by over 60%

    Report first recorded Oct 17, 19:28

    Deepseek has released an updated Flash model, V4.1-Flash-1017, which outperforms its predecessor and larger rivals like Claude Opus 5 and GPT 5.6-Sol in coding and agentic tasks. The model achieves higher benchmark scores while reducing average per-task costs to under $0.20, a significant drop from the predecessor's $0.50. Deepseek is also opening its internal search engine to outside developers via public Search & Fetch APIs, priced at $0.75 per 1,000 calls.

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