{"slug": "deepseek-v4-1-flash-1017-now-available-on-telnyx-inference", "title": "DeepSeek V4.1 Flash 1017 Now Available on Telnyx Inference", "summary": "Telnyx Inference has made DeepSeek V4.1 Flash 1017, the post-training checkpoint of DeepSeek's open-weight DeepSeek-V4.1-Flash model, available on Telnyx-owned GPUs under the model ID deepseek-ai/DeepSeek-V4.1-Flash-1017. The checkpoint targets agentic workloads such as coding agents, terminal automation and long-context document pipelines, and ships with open weights under the MIT license, a 1M-token context, a KV cache a quarter the size of the prior generation, and zero data retention on prompts and responses. Telnyx said running the model on its own in-region GPUs avoids cloud provider markup, with per-token rates listed on its Inference pricing page.", "body_md": "[Contact sales](https://telnyx.com/contact-us)\n\n[Log in](https://portal.telnyx.com)\n\nDeepSeek V4.1 Flash 1017, the post-training checkpoint of DeepSeek's open-weight DeepSeek-V4.1-Flash model, is now live on [Telnyx Inference](https://telnyx.com/products/inference), hosted on Telnyx-owned GPUs.\n\n`model=deepseek-ai/DeepSeek-V4.1-Flash-1017` in the `deepseek-ai/DeepSeek-V4.1-Flash`.\nThe gains in this checkpoint land exactly where agentic workloads live: coding agents, terminal automation, and long-context document pipelines. Open weights under the MIT license, a 1M-token context, a KV cache a quarter the size of the prior generation, and cached input rates that reward reuse all point the same way: more agent work per dollar. On Telnyx it runs on GPUs we own, in-region, with no cloud provider markup and zero data retention on prompts and responses. For current per-token rates, see [Telnyx Inference pricing](https://telnyx.com/pricing/inference-api).\n\n```\ncurl -X POST https://api.telnyx.com/v2/ai/openai/chat/completions \\\n  -H \"Authorization: Bearer $TELNYX_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"deepseek-ai/DeepSeek-V4.1-Flash-1017\",\n    \"messages\": [\n      {\"role\": \"user\", \"content\": \"Write a SQL query that computes month-over-month growth from an orders table.\"}\n    ]\n  }'\n```\n\n**Learn more** in the [model documentation](https://developers.telnyx.com/docs/inference/models) and in [DeepSeek's 1017 model card](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017).", "url": "https://wpnews.pro/news/deepseek-v4-1-flash-1017-now-available-on-telnyx-inference", "canonical_source": "https://telnyx.com/release-notes/deepseek-v4-1-flash-1017", "published_at": "2026-11-03 00:00:00+00:00", "updated_at": "2026-11-03 18:52:01.201331+00:00", "lang": "en", "topics": ["large-language-models", "ai-infrastructure", "ai-agents", "ai-tools"], "entities": ["Telnyx", "DeepSeek", "DeepSeek V4.1 Flash 1017", "DeepSeek-V4.1-Flash", "Telnyx Inference"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/deepseek-v4-1-flash-1017-now-available-on-telnyx-inference", "markdown": "https://wpnews.pro/news/deepseek-v4-1-flash-1017-now-available-on-telnyx-inference.md", "text": "https://wpnews.pro/news/deepseek-v4-1-flash-1017-now-available-on-telnyx-inference.txt", "jsonld": "https://wpnews.pro/news/deepseek-v4-1-flash-1017-now-available-on-telnyx-inference.jsonld"}}