{"slug": "together-ai-adds-deepseek-s-coding-update-to-its-api-for-agent-workloads", "title": "Together AI adds DeepSeek's coding update to its API for agent workloads", "summary": "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.", "body_md": "# Together AI adds DeepSeek's coding update to its API for agent workloads\n\n**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.**\n\n        By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff)\n        · Published \n\nPrimary source: [Aligned News - AI Intelligence](https://x.com/togethercompute/status/2112049317158776857)\n\n## Why it matters\n\nTogether 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.\n\n[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.…\n\nWhen 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.", "url": "https://wpnews.pro/news/together-ai-adds-deepseek-s-coding-update-to-its-api-for-agent-workloads", "canonical_source": "https://runtimewire.com/article/together-ai-deepseek-v41-flash-1017-api", "published_at": "2026-10-19 14:43:27+00:00", "updated_at": "2026-10-19 17:46:13.846897+00:00", "lang": "en", "topics": ["large-language-models", "ai-agents", "ai-tools", "ai-infrastructure"], "entities": ["Together AI", "DeepSeek", "V4.1 Flash 1017", "Vipul Ved Prakash"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/together-ai-adds-deepseek-s-coding-update-to-its-api-for-agent-workloads", "markdown": "https://wpnews.pro/news/together-ai-adds-deepseek-s-coding-update-to-its-api-for-agent-workloads.md", "text": "https://wpnews.pro/news/together-ai-adds-deepseek-s-coding-update-to-its-api-for-agent-workloads.txt", "jsonld": "https://wpnews.pro/news/together-ai-adds-deepseek-s-coding-update-to-its-api-for-agent-workloads.jsonld"}}