DeepSeek V4 Pro 0813
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
53.2
AA Index
Agentic
49.6
AA Index
Intelligence Index - DeepSeek V4 Pro 0813 vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Agentic Index comparison
Benchmark data from Artificial Analysis · updated 2026-08-17.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA | 92.8 |
Will it run on your hardware?
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Need an exact figure for your context length? Use the VRAM calculator.
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Deep dive
Notes, sources, and the full write-up
DeepSeek V4 Pro 0813 is a 1650.5B-parameter mit model from DeepSeek. It scores 53.2 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 957 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - DeepSeek V4 Pro 0813 vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| DeepSeek V4 Pro 0813 | 53.2 | - | 92.8 |
| Claude Opus 5 (max) | 63.1 | - | 93.2 |
| Claude Fable 5 (with fallback) | 62.1 | - | 92.6 |
| GPT-5.6 Sol (max) | 60.9 | - | 94.1 |
| Grok 4.6 (high) | 60.9 | - | 94.9 |
| Qwen3.8 Max | 58.1 | - | 92.7 |
Source: Artificial Analysis (2026-08-15).
Popularity
DeepSeek V4 Pro 0813 has 245 downloads in the last month on HuggingFace and 433 likes.
Frequently asked
Quick answers to common questions
How much VRAM does DeepSeek V4 Pro 0813 need?
DeepSeek V4 Pro 0813 with 1650.5B parameters needs approximately 957 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is DeepSeek V4 Pro 0813 better than other deepseek-ai models?
DeepSeek V4 Pro 0813 has 1650.5B parameters with 1,048,576 context - a strong choice for general use.
What license is DeepSeek V4 Pro 0813 under?
DeepSeek V4 Pro 0813 is released under the mit license, making it suitable for most commercial and personal projects.
What hardware runs DeepSeek V4 Pro 0813 well?
With 1650.5B parameters, DeepSeek V4 Pro 0813 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for DeepSeek V4 Pro 0813?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1172 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can DeepSeek V4 Pro 0813's context window handle?
DeepSeek V4 Pro 0813 supports a 1,048,576-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813 competes with other 825B–2476B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
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