DeepSeek

🔥DeepSeek-V4-Pro API is 75% OFF until May 5th, 2026, 15:59 (UTC Time)! Don't miss out on this massive discount.

🛠️Integration Updates:
🔹Claude Code: Set model to deepseek-v4-pro[1m] to unlock 1M context!
🔹OpenCode: Update to v1.14.24+
🔹OpenClaw: Update to v2026.4.24+

Check the latest official API docs for full details: https://api-docs.deepseek.com/quick_start/pricing

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report:
https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf
🤗 Open Weights:
https://huggingface.co/collections/deepseek-ai/deepseek-v4

⚠️ Heads-up to anyone using the DeepSeek-V3.2-Exp inference demo: earlier versions had a RoPE implementation mismatch in the indexer module that could degrade performance. Indexer RoPE expects non-interleaved input, MLA RoPE expects interleaved. Fixed in https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/tree/main/inference

🛠 Open Source Release

⛓ Model: https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp
⛓ Tech report: https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf
⛓ Key GPU kernels in TileLang & CUDA (use TileLang for rapid research prototyping!)

💻 API Update

🎉 Lower costs, same access!
💰 DeepSeek API prices drop 50%+, effective immediately.

🔹For comparison testing, V3.1-Terminus remains available via a temporary API until Oct 15th, 2025, 15:59 (UTC Time). Details: https://api-docs.deepseek.com/guides/comparison_testing
🔹Feedback welcome: https://feedback.deepseek.com/dsa

⚡️ Efficiency Gains

🤖 DSA achieves fine-grained sparse attention with minimal impact on output quality — boosting long-context performance & reducing compute cost.
📊 Benchmarks show V3.2-Exp performs on par with V3.1-Terminus.

🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model!

✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context.
👉 Now live on App, Web, and API.
💰 API prices cut by 50%+!

📊 DeepSeek-V3.1-Terminus delivers more stable & reliable outputs across benchmarks compared to the previous version.

👉 Available now on: App / Web / API
🔗 Open-source weights here: https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus

Thanks to everyone for your feedback. It drives us to keep improving and refining the experience! 🚀

🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus
The latest update builds on V3.1’s strengths while addressing key user feedback.

✨ What’s improved?
🌐 Language consistency: fewer CN/EN mix-ups & no more random chars.
🤖 Agent upgrades: stronger Code Agent & Search Agent performance.

Pricing Changes 💳

🔹 New pricing starts & off-peak discounts end at Sep 5th, 2025, 16:00 (UTC Time)
🔹 Until then, APIs follow current pricing
📝 Pricing page: https://api-docs.deepseek.com/quick_start/pricing/

Model Update 🤖

🔹 V3.1 Base: 840B tokens continued pretraining for long context extension on top of V3
🔹 Tokenizer & chat template updated — new tokenizer config: https://huggingface.co/deepseek-ai/DeepSeek-V3.1/blob/main/tokenizer_config.json
🔗 V3.1 Base Open-source weights: huggingface.co/deepseek-ai/DeepSeek-V3.1-Base
🔗 V3.1 Open-source weights: huggingface.co/deepseek-ai/DeepSeek-V3.1

Tools & Agents Upgrades 🧰

📈 Better results on SWE / Terminal-Bench
🔍 Stronger multi-step reasoning for complex search tasks
⚡️ Big gains in thinking efficiency

API Update ⚙️

🔹 deepseek-chat → non-thinking mode
🔹 deepseek-reasoner → thinking mode
🧵 128K context for both
🔌 Anthropic API format supported: api-docs.deepseek.com/guides/anthrop…
✅ Strict Function Calling supported in Beta API: api-docs.deepseek.com/guides/anthropic_api
🚀 More API resources, smoother API experience

Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀

🧠 Hybrid inference: Think & Non-Think — one model, two modes
⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528
🛠️ Stronger agent skills: Post-training boosts tool use and multi-step agent tasks

Try it now — toggle Think/Non-Think via the "DeepThink" button: chat.deepseek.com

🚀 DeepSeek-R1-0528 is here!

🔹 Improved benchmark performance
🔹 Enhanced front-end capabilities
🔹 Reduced hallucinations
🔹 Supports JSON output & function calling

✅ Try it now: https://chat.deepseek.com
🔌 No change to API usage — docs here: https://api-docs.deepseek.com/guides/reasoning_model
🔗 Open-source weights: https://huggingface.co/deepseek-ai/DeepSeek-R1-0528

🚀 DeepSeek-V3-0324 is out now!

🔹 Major boost in reasoning performance
🔹 Stronger front-end development skills
🔹 Smarter tool-use capabilities

✅ For non-complex reasoning tasks, we recommend using V3 — just turn off “DeepThink”
🔌 API usage remains unchanged
📜 Models are now released under the MIT License, just like DeepSeek-R1!
🔗 Open-source weights: https://huggingface.co/deepseek-ai/DeepSeek-V3-0324

🚀 Day 6 of #OpenSourceWeek: One More Thing – DeepSeek-V3/R1 Inference System Overview

Optimized throughput and latency via:
🔧 Cross-node EP-powered batch scaling
🔄 Computation-communication overlap
⚖️ Load balancing

Statistics of DeepSeek's Online Service:
⚡ 73.7k/14.8k input/output tokens per second per H800 node
🚀 Cost profit margin 545%

💡 We hope this week's insights offer value to the community and contribute to our shared AGI goals.
📖 Deep Dive: bit.ly/4ihZUiO