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DeepSeek V4.1 Flash 1017
DeepSeek’s faster, cheaper Flash model, plus a search API
DeepSeek-V4.1-Flash-1017 is a new post-training update to DeepSeek’s Flash model, served as deepseek-flash on the website, app and API. DeepSeek says it scores higher, finishes tasks faster and writes shorter outputs than the September version. It has a 1M-token context and is tuned for coding agents like DeepSeek Harness. It also adds a Search and Fetch API. Peak price is $0.30 in and $1.20 out per 1M tokens.
DeepSeek-V4.1-Flash-1017 is a new post-training update to DeepSeek’s V4.1-Flash model. Per DeepSeek, it scores higher, finishes tasks faster and writes shorter outputs than the September version, which it calls a “Pareto improvement in performance and cost”.
If you haven’t used Flash before, it’s DeepSeek’s fast, low-cost model. It takes text and image input, has a 1M-token context with up to 384K tokens of output, and is served as deepseek-flash on the website, app and API.
What changed in this update:
DeepSWE: 74.2 → 77.0
Terminal-Bench 4.0: 31.2 → 42.3
Automation-Bench: 54.8 → 60.5
Apex Bench: 64.6 → 72.1
ProgramBench: 20.3 → 29.1
HLE (no tools): 36.8 → 42.6
Better on all 11 benchmarks DeepSeek reported, by 2.0 to 11.1 points
It’s also tuned for agent work. DeepSeek trained it with reinforcement learning with self-feedback for end-to-end projects, from game creation to 3D modeling, and optimized it for DeepSeek Harness (developer preview), Tencent CodeBuddy and WorkBuddy.
There’s a new Search and Fetch API too. It costs $0.75 per 1,000 successful requests for each endpoint, and calls through DeepSeek Harness, Claude Code or Codex are free until November 1, 2026.
The price stays low, at $0.30 input and $1.20 output per 1M tokens at peak, and half that off-peak. The calling method and the deepseek-flash name haven’t changed, so existing apps get the update without code changes. The old deepseek-v4-flash names are retired and now route to this model.
Good fit if you’re building coding agents or automation and want a cheap model with a long context.
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About DeepSeek V4.1 Flash 1017 on Product Hunt
“DeepSeek’s faster, cheaper Flash model, plus a search API”
DeepSeek V4.1 Flash 1017 was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #169 on the daily leaderboard. DeepSeek-V4.1-Flash-1017 is a new post-training update to DeepSeek’s Flash model, served as deepseek-flash on the website, app and API. DeepSeek says it scores higher, finishes tasks faster and writes shorter outputs than the September version. It has a 1M-token context and is tuned for coding agents like DeepSeek Harness. It also adds a Search and Fetch API. Peak price is $0.30 in and $1.20 out per 1M tokens.
DeepSeek V4.1 Flash 1017 was featured in Artificial Intelligence (481.7k followers) on Product Hunt. Together, these topics include over 131.1k products, making this a competitive space to launch in.
Who hunted DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 was hunted by Jayant Arora. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how DeepSeek V4.1 Flash 1017 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jayant Arora
DeepSeek-V4.1-Flash-1017 is a new post-training update to DeepSeek’s V4.1-Flash model. Per DeepSeek, it scores higher, finishes tasks faster and writes shorter outputs than the September version, which it calls a “Pareto improvement in performance and cost”.
If you haven’t used Flash before, it’s DeepSeek’s fast, low-cost model. It takes text and image input, has a 1M-token context with up to 384K tokens of output, and is served as deepseek-flash on the website, app and API.
What changed in this update:
DeepSWE: 74.2 → 77.0
Terminal-Bench 4.0: 31.2 → 42.3
Automation-Bench: 54.8 → 60.5
Apex Bench: 64.6 → 72.1
ProgramBench: 20.3 → 29.1
HLE (no tools): 36.8 → 42.6
Better on all 11 benchmarks DeepSeek reported, by 2.0 to 11.1 points
It’s also tuned for agent work. DeepSeek trained it with reinforcement learning with self-feedback for end-to-end projects, from game creation to 3D modeling, and optimized it for DeepSeek Harness (developer preview), Tencent CodeBuddy and WorkBuddy.
There’s a new Search and Fetch API too. It costs $0.75 per 1,000 successful requests for each endpoint, and calls through DeepSeek Harness, Claude Code or Codex are free until November 1, 2026.
The price stays low, at $0.30 input and $1.20 output per 1M tokens at peak, and half that off-peak. The calling method and the deepseek-flash name haven’t changed, so existing apps get the update without code changes. The old deepseek-v4-flash names are retired and now route to this model.
Good fit if you’re building coding agents or automation and want a cheap model with a long context.