DeepSeek V4.1 Flash 1017, the post-training checkpoint of DeepSeek's open-weight DeepSeek-V4.1-Flash model, is now live on Telnyx Inference, hosted on Telnyx-owned GPUs.
model=deepseek-ai/DeepSeek-V4.1-Flash-1017 in the deepseek-ai/DeepSeek-V4.1-Flash.
The 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.
curl -X POST https://api.telnyx.com/v2/ai/openai/chat/completions \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-ai/DeepSeek-V4.1-Flash-1017",
"messages": [
{"role": "user", "content": "Write a SQL query that computes month-over-month growth from an orders table."}
]
}'
Learn more in the model documentation and in DeepSeek's 1017 model card.