DeepSeek

DDeepSeek V3.1OPEN

DeepSeek V3.1 (DeepSeek): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
164K
tokens
Input price
$0.25
per M tokens
Output price
$0.95
per M tokens
Provider
DeepSeek

Prices update automatically — checked hourly against provider list prices.

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Benchmarks & performance

Independent benchmark scores for DeepSeek V3.1, measured by Artificial Analysis. Higher is better. Measurement mode: Non-reasoning.

4.1×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, DeepSeek V3.1 delivers 4.1 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index21
Math index49.7
GPQA73.5%
MMLU-Pro83.3%
Humanity's Last Exam6.3%
Long Context Reasoning45%
LiveCodeBench57.7%
SciCode36.7%
AIME 202549.7%
IFBench37.8%
τ²-Bench34.8%
Terminal-Bench Hard24.2%
💰 Blended price$0.84 / 1M tokens
📈 Value25 intelligence points per $
Benchmark data by Artificial Analysis

About this model

DeepSeek V3.1 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 hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is DeepSeek V3.1?

DeepSeek V3.1 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 21 on the Artificial Analysis intelligence index.

Is DeepSeek V3.1 free?

The weights are free and open — you can self-host DeepSeek V3.1 and pay nothing per token. If you prefer a hosted API, list prices are $0.25 per million input tokens and $0.95 per million output tokens.

What is DeepSeek V3.1 good at?

Independent benchmarks from Artificial Analysis give it GPQA 73.5%, MMLU-Pro 83.3%, Humanity's Last Exam 6.3%, Long Context Reasoning 45%, LiveCodeBench 57.7%, SciCode 36.7%, AIME 2025 49.7%, IFBench 37.8%, τ²-Bench 34.8%, Terminal-Bench Hard 24.2%. It is particularly used for mathematical reasoning.

Can I self-host DeepSeek V3.1?

Yes. DeepSeek V3.1 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.

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