gekro
GitHub LinkedIn
News

AI News

DeepSeek V4.1-Flash-1017 cuts agentic costs; StepFun releases 600B MoE Step 5 Preview

DeepSeek released V4.1-Flash-1017 with improved agentic benchmarks and lower per-task costs; StepFun shipped Step 5 Preview open-weight MoE with 1M context window.

1 min read 4 sources

DeepSeek has released V4.1-Flash-1017, an open-weight model checkpoint that outperforms its predecessor on agentic task benchmarks while reducing per-task inference costs (The Decoder). The release is live across the DeepSeek website, app, and API. DeepSeek also opened new Search and Fetch APIs at $0.75 per 1,000 calls, expanding developer access to internal search infrastructure (The Decoder). The model demonstrates faster task completion and shorter outputs than the September V4.1-Flash checkpoint (MarkTechPost).

StepFun released Step 5 Preview as open-weight FP8 and BF16 checkpoints on Hugging Face and ModelScope (MarkTechPost). The sparse mixture-of-experts model contains 600B total parameters with 27B active per token and supports up to 1M token context windows, targeting long-horizon agentic applications. Perplexity open-sourced SPACE, its Firecracker microVM sandbox platform for AI agent task execution, under Apache 2.0 on GitHub (MarkTechPost), providing isolated compute environments with external credential and traffic control for sandbox-based agent workflows.

Compiled automatically from the linked sources and published without manual editing - a neutral summary of third-party reporting, for information only. Every claim links to its origin. Not original reporting.