DeepSeekReleased on Dec 1, 2025

DeepSeek-V3.2 (Non-thinking): Benchmarks, Pricing & Size

DeepSeek-V3.2 (Non-thinking) is a language model from DeepSeek, released in December 2025.

DeepSeek-V3.2 in non-thinking mode. A powerful language model with 685B parameters using DeepSeek Sparse Attention (DSA) for efficient long-context processing. Supports JSON output, tool calls, and chat prefix completion. This is the

Input
Text
Output
Text
Speed
Latency p951.61s
Throughput P95100char/s
Cost
$0.30/ 1M · 8:1 in:out
$0.28 in · $0.42 out

DeepSeek-V3.2 (Non-thinking) pricing

Providers

DeepSeek-V3.2 (Non-thinking) starts at $0.280 per million input tokens and $0.420 per million output tokens via DeepSeek.

ProviderInput $/MOutput $/MMax InputMax OutputLatency p95 sThroughput P95QuantInputOutput
DeepSeek logoDeepSeek
$0.280$0.420131.1K8.2K
1.61
100 c/s
—

DeepSeek-V3.2 (Non-thinking) model size

DeepSeek-V3.2 (Non-thinking) has 685 billion parameters. See how it compares to other models in the same parameter range.

Parameters
685BMoE
Frontier (200B+)
685B
1B7B70B405B

DeepSeek-V3.2 (Non-thinking) API

API access coming soon

DeepSeek-V3.2 (Non-thinking) will be available through our gateway shortly.

DeepSeek-V3.2 (Non-thinking) examples

Recent arena outputs from DeepSeek-V3.2 (Non-thinking), picked from the highest-ranked matchups.

DeepSeek-V3.2 (Non-thinking) license

DeepSeek-V3.2 (Non-thinking) is released under the MIT license, which permits commercial use, has 685.0B parameters.

License
MIT
Commercial use allowed
Parameters
685.0B

MIT License - allows commercial use

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking).

When was DeepSeek-V3.2 (Non-thinking) released?

DeepSeek-V3.2 (Non-thinking) was released on December 1, 2025 by DeepSeek. This is the official DeepSeek-V3.2 (Non-thinking) release date tracked on LLM Stats.

Is DeepSeek-V3.2 (Non-thinking) available via API?

Yes, DeepSeek-V3.2 (Non-thinking) is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

How big is DeepSeek-V3.2 (Non-thinking)?

DeepSeek-V3.2 (Non-thinking) has 685 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created DeepSeek-V3.2 (Non-thinking)?

DeepSeek-V3.2 (Non-thinking) was created by DeepSeek.

What is the license for DeepSeek-V3.2 (Non-thinking)?

DeepSeek-V3.2 (Non-thinking) is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

Where can I use DeepSeek-V3.2 (Non-thinking)?

DeepSeek-V3.2 (Non-thinking) is available through 1 provider including DeepSeek.

Where is the DeepSeek-V3.2 (Non-thinking) paper or technical report?

DeepSeek-V3.2 (Non-thinking) has a paper or technical report available at https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf. Use that source for architecture, training, release and evaluation details.