DeepSeek V4.1 Flash 1017
Readymodel path:accounts/fireworks/models/deepseek-v4p1-flash-1017
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete tasks faster and at lower cost and advancing the performance–cost Pareto frontier across multiple agent harnesses.
DeepSeek V4.1 Flash 1017 can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
DeepSeek V4.1 Flash 1017 is available via Fireworks' serverless API, where you pay per token. There are several ways to call the Fireworks API, including Fireworks' Python client, the REST API, or OpenAI's Python client.
On-demand deployments allow you to use DeepSeek V4.1 Flash 1017 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
$0.30 / $0.006 / $1.20
Run queries immediately, pay only for usage
Per 1M Tokens (input/cached input/output)