DeepSeek V4.1 Flash
Hosted API cost & speed
What it costs to rent this model instead of running it locally
| Metric | Value |
|---|---|
| Input (per 1M tokens) | $0.30 |
| Output (per 1M tokens) | $1.20 |
| Median speed (hosted API) | 256 tok/s |
Median across hosted providers, measured by Artificial Analysis - updated 2026-10-31. Local llama.cpp speed depends on your hardware — see the hardware pages for estimates.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| HLE | 39.2 |
| SciCode | 51.9 |
Source: Artificial Analysis component evals - updated 2026-10-31.
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
Copy-paste - running in under a minute
vllm serve deepseek-ai/DeepSeek-V4.1-FlashNew to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
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