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DeepSeek · open-weights

DeepSeek V4 Pro DSpark

DeepSeek V4 Pro DSpark is an open-weights language model from DeepSeek, released June 27, 2026. It has 1.7T parameters (mixture-of-experts, 127B active). The context window is 1M tokens.

Check it against your own PC →

Lab
DeepSeek
Released
June 27, 2026
Weights
Open mit
Parameters
1.7T MoE · 127B active
Context
1M
Price / M tokens
–
Epoch ECI
not yet rated

Can you run DeepSeek V4 Pro DSpark locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMToo large––––
8 GB VRAMToo large––––
12 GB VRAMToo large––––
16 GB VRAMToo large––––
24 GB VRAMToo large––––
32 GB VRAMToo large––––

Ready-made quantizations on Hugging Face: dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF · alessandrobologna/DeepSeek-V4-Pro-DSpark-Drafter-GGUF

Benchmark results

Epoch AI has not published results for DeepSeek V4 Pro DSpark yet. New models are usually evaluated within days to weeks.

Links

Hugging Face: deepseek-ai/DeepSeek-V4-Pro-DSpark

More from DeepSeek

DeepSeek V4.1 Flash 1017 · DeepSeek V4 Flash Vision Exp · DeepSeek V4.1 Flash · DeepSeek V4 Pro 0813 · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash DSpark · DeepSeek-V4-Pro · DeepSeek-V4-Flash

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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