DeepSeek releases V4.1-Flash-1017 with coding near pricier models
10/19/2026 — 10/19, 14:18·2 sources (all)·2 reports (all)·In the 2026-10-19 briefing
Key takeaways
- DeepSeek released the V4.1-Flash-1017 model, which approaches some higher-priced models on coding tasks while keeping its price unchanged, t…
Background & analysis
On October 17, DeepSeek released V4.1-Flash-1017 at an unchanged price. According to cnBeta, the model's coding performance comes close to that of some higher-priced models, though it takes somewhat longer on average. On a set of 10 coding tasks that the new DeepSeek model completed correctly in full, the cost came to less than 40% of what Claude Opus 5.5 would require, with roughly two extra minutes of waiting per task. The report also said developers had already begun using it to build games, assemble web pages and modify code.
On October 19, Together AI announced on X that deepseek v4.1 flash 1017 was live on its platform, also at the same price. Together AI said DeepSeek trained the update with self-feedback RL to improve the model's ability to build complete projects from scratch, spanning web apps and games as well as longer agentic coding tasks. Both reports give the same release date, October 17. The public record currently stops at the model going live on Together AI's platform and developers starting to try it out.
AI-generated from 2 reports · updated 1 hour ago
Latest turnAccording to cnBeta, DeepSeek has released the V4.1-Flash-1017 model, maintaining its pricing while matching high-end models on programming tasks with slightly longer latency. Developers are already utilizing it for building games and web pages.
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According to cnBeta, DeepSeek has released the V4.1-Flash-1017 model, maintaining its pricing while matching high-end models on programming tasks with slightly longer latency. Developers are already utilizing it for building games and web pages.
cnBetaAI score 62Together AI says deepseek v4.1 flash 1017 is now available on its platform at the same price. According to the company, DeepSeek trained the update with self-feedback RL to improve building complete projects from scratch, from web apps and games to longer agentic coding tasks.
X：Together AI (@togethercompute)First-partyAI score 55
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