Models

DeepSeek ships V4.1-Flash-1017 under MIT with a company agent-bench table

17 October 2026. 763B params on the HF card. Terminal-Bench 4.0 listed at 42.3 versus 31.2 on prior Flash.

DeepSeek-V4.1-Flash-1017 Hugging Face model card social thumbnail
Source: Hugging Face / DeepSeek
2 min readFrontier DeskDeepSeek, open weights, agents, models

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A dated Flash cut, not a new V4 paper. DeepSeek's 1017 tag is the buyer-facing weight bump after the September KV-cache Record.

DeepSeek posts V4.1-Flash-1017 on Hugging Face

DeepSeek-AI published deepseek-ai/DeepSeek-V4.1-Flash-1017 on Hugging Face around 17 October 2026. The card calls it a minor update to DeepSeek-V4.1-Flash with improvements across reasoning, coding, agentic tasks, and visual benchmarks, plus shorter outputs and faster task completion on the company's framing. Model size on the card: 763B parameters. Context window guidance: 1M tokens. License: MIT for the repository and weights.

Company table on the card (selected rows): Terminal-Bench 4.0 at 42.3 for 1017 versus 31.2 for prior Flash (Claude Code harness noted); DeepSWE v1.1 at 77.0 versus 74.2 (Mini-SWE-V2 harness); ProgramBench 29.1 versus 20.3; Automation-Bench v1.0.6 at 60.5 versus 54.8; Agents' Last Exam 35.4 versus 31.8. Comparator columns include K3, GLM-5.3, GPT-5.6 Sol, and Opus 5 with DeepSeek's numbers. Recommended sampling: temperature 1.0, top_p 1.0, max_tokens at least 256K.

The card says the release does not ship a Jinja chat template; an encoding folder holds a Python reference, and deepseek-recipe Rust/Python bindings are pointed for production prompt encoding. An inference folder covers weight conversion and local run notes.

Who the MIT tag binds

DeepSeek-AI shipped the weights and the company bench table. Self-host operators who pull 1017 accept MIT terms and their own serve stack. Teams still on the September V4.1-Flash KV-cache report are not automatically on 1017 until they change the revision. Closed API buyers only move if DeepSeek's product surfaces point at this tag.

A Flash revision with a printed agent delta

A public MIT 1017 checkpoint with company-claimed agent and coding lifts versus the prior Flash row, plus encoding/recipe pointers for non-Jinja prompts. It is not a new DeepSeek-V4 architecture paper. It is not third-party confirmation of Terminal-Bench 42.3.

Harness and cost are DeepSeek's

Date: Hugging Face release window 17 October 2026. License: MIT. Price: self-host is your GPUs; API list rates are not on this card. Region: export and deemed-export review remains buyer-side. Independent reproduction of Terminal-Bench 4.0 at 42.3 or DeepSWE at 77.0 under the same harnesses is not in the card. Relation to the September arXiv KV-cache report is lineage, not a fresh FLOPs plot on this page.

Pin 1017 and re-bench before you cut token budget

Platform owners should pin the 1017 revision, load the encoding path DeepSeek documents, and re-run their own agent holdouts before assuming shorter outputs cut billable tokens. Keep the September KV-cache Record for architecture; use this Dispatch for the weight tag. Ignore "Pareto frontier" as a contract term until your harness matches theirs.

Independent dollars per agent task on your cluster are not on the model card.

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Canonical URL

https://www.thefrontier.dev/articles/deepseek-v41-flash-1017

Attribution

The Frontier, “DeepSeek ships V4.1-Flash-1017 under MIT with a company agent-bench table”, 19 Oct 2026

TLDR

17 October 2026. 763B params on the HF card. Terminal-Bench 4.0 listed at 42.3 versus 31.2 on prior Flash.

Plain text

Frontier Desk. “DeepSeek ships V4.1-Flash-1017 under MIT with a company agent-bench table.” The Frontier. 19 Oct 2026. https://www.thefrontier.dev/articles/deepseek-v41-flash-1017

BibTeX

@misc{frontier_deepseek_v41_flash_1017_2026,
  title = {DeepSeek ships V4.1-Flash-1017 under MIT with a company agent-bench table},
  author = {{Frontier Desk}},
  howpublished = {The Frontier},
  year = {2026},
  month = oct,
  url = {https://www.thefrontier.dev/articles/deepseek-v41-flash-1017}
}

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