DeepSeek

DDeepSeek V3.2 ExpOPEN

DeepSeek V3.2 Exp (DeepSeek): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
164K
tokens
Input price
$0.27
per M tokens
Output price
$0.41
per M tokens
Provider
DeepSeek

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for DeepSeek V3.2 Exp, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

13×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, DeepSeek V3.2 Exp delivers 13 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index25.4
Math index87.7
GPQA79.7%
MMLU-Pro85%
Humanity's Last Exam13.8%
Long Context Reasoning69%
LiveCodeBench78.9%
SciCode37.7%
AIME 202587.7%
IFBench54.1%
τ²-Bench33.9%
Terminal-Bench Hard31.1%
💰 Blended price$0.315 / 1M tokens
📈 Value80.6 intelligence points per $
Benchmark data by Artificial Analysis

About this model

DeepSeek V3.2 Exp 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 V3.2 Exp?

DeepSeek V3.2 Exp 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 25.4 on the Artificial Analysis intelligence index.

Is DeepSeek V3.2 Exp free?

The weights are free and open — you can self-host DeepSeek V3.2 Exp and pay nothing per token. If you prefer a hosted API, list prices are $0.27 per million input tokens and $0.41 per million output tokens.

What is DeepSeek V3.2 Exp good at?

Independent benchmarks from Artificial Analysis give it GPQA 79.7%, MMLU-Pro 85%, Humanity's Last Exam 13.8%, Long Context Reasoning 69%, LiveCodeBench 78.9%, SciCode 37.7%, AIME 2025 87.7%, IFBench 54.1%, τ²-Bench 33.9%, Terminal-Bench Hard 31.1%. It is particularly used for mathematical reasoning.

Can I self-host DeepSeek V3.2 Exp?

Yes. DeepSeek V3.2 Exp 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.

Related models

DeepSeek V4 FlashDeepSeekDeepSeek V4 ProDeepSeekDeepSeek V3.2DeepSeekDeepSeek V3.1 TerminusDeepSeekDeepSeek V3.1DeepSeekDeepSeek V3 0324DeepSeek