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DeepSeek · open-weights

DeepSeek-V4-Pro

DeepSeek-V4-Pro is an open-weights language model from DeepSeek, released April 24, 2026. It has 1.6T parameters (mixture-of-experts, 76B active). The context window is 1M tokens. On the Epoch Capabilities Index it scores 150.2, rank 69 of 256 rated models. API price: $0.66 input / $1.98 output per million tokens.

We present a preview version of DeepSeek-V4 series, including two strong Mixture-ofExperts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens.

Check it against your own PC →

Lab
DeepSeek
Released
April 24, 2026
Weights
Open mit
Parameters
1.6T MoE · 76B active
Context
1M
Price / M tokens
$0.66 / $1.98 in / out
Epoch ECI
150.2 #69

Can you run DeepSeek-V4-Pro 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: teamblobfish/DeepSeek-V4-Pro-GGUF · nvidia/DeepSeek-V4-Pro-NVFP4 · nvidia/DeepSeek-V4-Pro-nvfp4-DSpark · RedHatAI/DeepSeek-V4-Pro-NVFP4-FP8 · amd/DeepSeek-V4-Pro-NVFP4 · mlx-community/DeepSeek-V4-Pro

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning12.6Chess Puzzles, Mystery Game Puzzles
Math36.9ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Knowledge75.2GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME96.7%
GPQA Diamond91.5%
SWE-bench Verified77.6%
FrontierMath (Tiers 1–3)47.6%
SimpleQA Verified47.0%
ProofBench16.0%
Chess Puzzles14.8%
Mystery Game Puzzles8.6%
FrontierMath-Tier-4-v2-Private2.4%

Links

Announcement · Hugging Face: deepseek-ai/DeepSeek-V4-Pro · Epoch AI benchmarks

Models with a similar score

GLM-5.3-Flash · Muse Spark · GLM-5.2 · Gemini 3 Pro · Claude Sonnet 4.6 · Mistral Large 4 Preview · Qwen 3.8 27B · Gemini 3 Flash

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 Pro DSpark · DeepSeek V4 Flash DSpark · 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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