DeepSeek DSpark

https://platform.deepseek.com

Free (MIT license); API usage pricing applies for DeepSeek-V4

Semi-autoregressive generation architecture — addresses suffix decay in parallel speculative decoding
60–85% per-user speedup on DeepSeek-V4 Flash, 57–78% on V4-Pro at equivalent hardware
Up to 400% aggregate throughput gain at high concurrency
26.7–30.9% higher accepted length than Eagle3, 16.3–18.4% higher than DFlash
Compatible with RAG, tools, and agents — production-safe for real applications
No retraining required — attaches to existing V4 weights
Open-source DeepSpec toolkit (MIT) for training custom draft modules
Supports Qwen3 and Gemma draft models out of the box

60–85% faster inference with no hardware changes — genuine efficiency gain with no downside
Already live in production on DeepSeek API — not vaporware or roadmap promise
Open-source with MIT license — DeepSpec toolkit freely available for training custom draft modules
Better draft acceptance than prior frameworks (Eagle3, DFlash) — technically differentiated
Compatible with RAG, tool use, and agentic workflows — production-safe
Infrastructure cost per token can drop ~85% at equal hardware for high-volume deployments
No retraining required — attaches to existing V4 weights transparently

Peak-valley pricing shift at mid-July official V4 release — peak hours double off-peak
Gains diminish at extreme concurrency — best for single-user latency and moderate-load deployments
Not a new model — no quality improvements, only speed
DeepSpec optimized for DeepSeek-V4 family — custom base models need custom training work