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ArtificialIntelligence
ProductLaunch
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DeepSeek-V4: a million-token context that agents can actually use
Summary
DeepSeek-V4: a million-token context that agents can actually use DeepSeek-V4: a million-token context that agents can actually use Published April 24, 2026 Update on GitHub Upvote 60 ben burtenshaw burtenshaw DeepSeek released V4 today. Two MoE checkpoints are on the Hub: DeepSeek-V4-Pro at 1.6T total parameters with 49B active, and DeepSeek-V4-Flash at 284B total with 13B active.
Why it matters
This ProductLaunch is relevant to the technology intelligence record because it involves DeepSeek, GitHub, Cohere, Gemini. The source article should remain the factual reference for follow-up coverage.
Key facts
- DeepSeek-V4: a million-token context that agents can actually use Published April 24, 2026 Update on GitHub Upvote 60 ben burtenshaw burtenshaw DeepSeek released V4 today.
- Two MoE checkpoints are on the Hub: DeepSeek-V4-Pro at 1.6T total parameters with 49B active, and DeepSeek-V4-Flash at 284B total with 13B active.
- Both have a 1M-token context window.
- The benchmark numbers are competitive, but not SOTA.
- The real innovation is how DeepSeek v4 is designed for efficient large context length support, and hence as one of the best candidates for agentic tasks.
- Focusing on long running agentic workloads.
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