Models
DeepSeek-V4 reaches 1 million tokens with practical agent performance
DeepSeek-V4 extends context to 1 million tokens while maintaining inference speed practical for agentic workflows. The model demonstrates that extreme context length no longer requires sacrificing latency.
1 min read
SourceHugging Face Blog
DeepSeek released V4, a language model supporting 1 million tokens of context while maintaining inference latency suitable for agent-driven applications. This represents a shift in how the field approaches the cost-versus-capability tradeoff in long-context models.
The 1 million token window is not...
Sign in to read the full analysis
Free — just an email. Get full analysis on LLM unit economics, plus the weekly Cost-of-Inference column.
Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- Hugging Face Blog
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai