Together AI adds DeepSeek's coding update to its API for agent workloads Together AI said on October 19th that DeepSeek's V4.1 Flash 1017 coding model, released October 17th, is live through its API at $0.30 per million input tokens and $1.20 per million output tokens. DeepSeek's release notes say the model uses reinforcement learning with self-feedback to improve end-to-end project work, and Together AI's listing makes the update available to developers building agent workloads. DeepSeek's benchmark gains are self-reported, so customer workloads will determine whether the refresh earns sustained use. Together AI adds DeepSeek's coding update to its API for agent workloads DeepSeek released V4.1 Flash 1017 on October 17th; Together AI said it was live through its API on October 19th. The listing prices it at $0.30 per million input tokens and $1.20 per million output tokens. By RuntimeWire Staff https://runtimewire.com/author/runtimewire-staff · Published Primary source: Aligned News - AI Intelligence https://x.com/togethercompute/status/2112049317158776857 Why it matters Together AI's API makes DeepSeek's October 17th coding update available to developers, with pricing posted by the provider. DeepSeek's benchmark gains are self-reported, so customer workloads will determine whether the refresh earns sustained use. Together AI https://www.together.ai/about-us?ref=runtimewire , the model-serving company led by Vipul Ved Prakash @vipulved https://x.com/vipulved?ref=runtimewire , said on October 19th that DeepSeek's V4.1 Flash 1017 coding model was live through its API. DeepSeek's release notes https://api-docs.deepseek.com/news/news261017/?ref=runtimewire date the model release to October 17th and say it uses reinforcement learning https://runtimewire.com/models/huggingface/lobonexequiel-reinforcement-learning-daff1a058d32e2ca with self-feedback to improve end-to-end project work.… When you purchase through links in our articles, we may earn a small commission https://runtimewire.com/affiliate-monetization-standards . This doesn’t affect our editorial independence.