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DeepSeek

DeepSeek V3.2 Exp

Benchmarks, price, context and versions

Also searched as

DeepSeek-V3.2-Exp

Direct answer: DeepSeek V3.2 Exp is a model from DeepSeek. On OpenRouter, US$ 0.27 per 1 million input tokens and US$ 0.41 per 1 million output tokens.

✓ Good for

  • running on your own infrastructure (open weights)

✕ Not the best for

  • Not enough data in the open sources this section uses to build this block.

This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.

Benchmarks

no data

Key specs

Origin
China
Family
DeepSeek Exp provisional data
Weights?what it is
open
License
mit
Input US$/1M?
US$ 0.27
Output US$/1M
US$ 0.41
Context?
163,840 tokens
Parameters
685,396,921,376
Input
text
OpenRouter usage?
no data
Downloads (30 days)?
45,262
Use cases provisional data
Text Agents
Dates in sources
  • 2025, listed on OpenRouter
  • 2025, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is DeepSeek V3.2 Exp?

DeepSeek V3.2 Exp is a model from DeepSeek, with open weights, used for text, agents.

How much does DeepSeek V3.2 Exp cost?

On OpenRouter, US$ 0.27 per 1 million input tokens and US$ 0.41 per 1 million output tokens.

What is the context window of DeepSeek V3.2 Exp?

163,840 tokens, per OpenRouter.

Is DeepSeek V3.2 Exp open source?

Yes, it has open weights. License: mit.

Is DeepSeek V3.2 Exp good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made DeepSeek V3.2 Exp?

It was made by DeepSeek, a lab from China.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Models from DeepSeek

See lab

Sources

  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.