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DeepSeek V4.1 FlashOPEN
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
Prices update automatically — checked daily against provider list prices.
- $0.16 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 64% of the 205 open-weight models tracked here
- 2 of 15 DeepSeek models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for DeepSeek V4.1 Flash, measured by Artificial Analysis. Higher is better. Measurement mode: Max.
For the same budget, DeepSeek V4.1 Flash delivers 10 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $2 per 1M tokens (median of 19) — this one costs $0.16.
Cheaper and better on this index: GLM 5.3 Flash (batch)
About this model
DeepSeek V4.1 Flash is an open-weight AI model by DeepSeek. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is an AI language model from DeepSeek. It is open-weight: you can download it and run it on your own hardware, for free. It scores 39.5 on the Artificial Analysis intelligence index.
Is DeepSeek V4.1 Flash free?
The weights are free and open — you can self-host DeepSeek V4.1 Flash and pay nothing per token. If you prefer a hosted API, list prices are $0.02 per million input tokens and $0.6 per million output tokens.
What is DeepSeek V4.1 Flash good at?
Independent benchmarks from Artificial Analysis give it Humanity's Last Exam 39.2%, Long Context Reasoning 84%, SciCode 51.9%.
How fast is DeepSeek V4.1 Flash?
It generates about 214.9 tokens per second, with a median 0.8s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host DeepSeek V4.1 Flash?
Yes. DeepSeek V4.1 Flash has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.