DeepSeek V4.1 Flash
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
39.5
AA Index
Intelligence Index - DeepSeek V4.1 Flash vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Benchmark data from Artificial Analysis · updated 2026-09-14.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
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Deep dive
Notes, sources, and the full write-up
DeepSeek V4.1 Flash is a 763.2B-parameter mit model from DeepSeek. It scores 39.5 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 443 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - DeepSeek V4.1 Flash vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| DeepSeek V4.1 Flash | 39.5 | - | - |
| Claude Fable 5.1 (max with fallback) | 53.4 | - | 93.7 |
| GPT-6 Astra (max) | 52.8 | - | 96.1 |
| Claude Opus 5 (max) | 50.7 | - | 93.2 |
| Claude Fable 5 (with fallback) | 49.7 | - | 92.6 |
| Muse Spark 1.3 (max) | 48.2 | - | 93.5 |
Source: Artificial Analysis (2026-09-12).
Popularity
DeepSeek V4.1 Flash has 75,774 downloads in the last month on HuggingFace and 1,803 likes.
Frequently asked
Quick answers to common questions
How much VRAM does DeepSeek V4.1 Flash need?
DeepSeek V4.1 Flash with 763.2B parameters needs approximately 443 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is DeepSeek V4.1 Flash better than other deepseek-ai models?
DeepSeek V4.1 Flash has 763.2B parameters with 1,048,576 context - a strong choice for general use.
What license is DeepSeek V4.1 Flash under?
DeepSeek V4.1 Flash is released under the mit license, making it suitable for most commercial and personal projects.
What hardware runs DeepSeek V4.1 Flash well?
With 763.2B parameters, DeepSeek V4.1 Flash 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 V4.1 Flash?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~542 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can DeepSeek V4.1 Flash's context window handle?
DeepSeek V4.1 Flash 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 V4.1 Flash?
DeepSeek V4.1 Flash competes with other 382B–1145B. 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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