DeepSeek V4 Flash Local Deployment Guide: 128GB M3 Max Tested with 1M Context
May 2026 · AI Toolbox In-Depth Tutorial
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DeepSeek V4 Flash can run locally on a 128GB M3 Max with 1M context! This is a major breakthrough for open-source LLM local deployment — you no longer need cloud servers to access top-tier AI.
What is DeepSeek V4 Flash?
DeepSeek V4 Flash is the latest open-source model released by DeepSeek in 2026, focusing on "lightweight high performance" — while maintaining core capabilities, it significantly reduces parameter count and memory requirements compared to the V4 Pro version, making local deployment possible.
- 1M Context Window — Supports 1 million tokens, far exceeding GPT-4's 128K
- 128GB M3 Max Compatible — Mac Studio users can finally run top-tier models locally
- Open Source (MIT) — Free for commercial use
- Top-tier Chinese Capabilities — Surpasses most commercial models in Chinese tasks
Hardware Requirements
| Config | Memory | Context | Speed |
|---|---|---|---|
| Mac Studio M3 Max 128GB | ✅ Works | 1M tokens | ~15 token/s |
| Mac Studio M2 Ultra 192GB | ✅ Best | 1M tokens | ~20 token/s |
| 64GB Mac | ⚠️ 128K only | 128K | ~8 token/s |
Local Deployment Tutorial (Mac)
# Step 1: Install Ollama
brew install ollama
# Step 2: Start Ollama service
ollama serve
# Step 3: Pull DeepSeek V4 Flash model
ollama pull deepseek-v4-flash
# Step 4: Run with 1M context (128GB+ required)
ollama run deepseek-v4-flash --ctx-size 1000000
DeepSeek V4 Flash vs Others
| Feature | DeepSeek V4 Flash | GPT-4o | Claude Sonnet |
|---|---|---|---|
| Context Length | 1M | 128K | 200K |
| Local Deploy | ✅ | ❌ | ❌ |
| Price | Free | $20/mo | $20/mo |
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