Question 1

What is DeepSeek V3.2 Exp?

Accepted Answer

DeepSeek V3.2 Exp is a model from Deepseek, released on Sep 29, 2025. DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. $0.27 per million input tokens, $0.41 per million output tokens. 163,840 token context window, maximum output of 65,536 tokens. Higher uptime with 3 providers. Includes independent benchmarks from Artificial Analysis.

Question 2

How much does DeepSeek V3.2 Exp cost?

Accepted Answer

On the Respan gateway, input starts at $0.27 per 1M tokens on OpenRouter, and output starts at $0.41 per 1M tokens on OpenRouter, after gateway discounts.

Question 3

Which providers serve DeepSeek V3.2 Exp on Respan?

Accepted Answer

DeepSeek V3.2 Exp is served by OpenRouter.

Question 4

What is DeepSeek V3.2 Exp's context window?

Accepted Answer

DeepSeek V3.2 Exp accepts up to 164K tokens of context.

Question 5

How do I use DeepSeek V3.2 Exp with the Respan gateway?

Accepted Answer

Point any OpenAI-compatible SDK at https://api.respan.ai/api/ with your Respan API key and set the model to "deepseek-v3.2-exp". To set it up with a coding agent, copy the agent setup prompt at the top of this page.

Question 6

How fast is DeepSeek V3.2 Exp?

Accepted Answer

Over the last 30 days of requests through the Respan gateway, the fastest provider was OpenRouter at 7 tokens per second, and the lowest response latency was 10.2 seconds on OpenRouter. Speed varies with request size and provider.

Question 7

Where does DeepSeek V3.2 Exp rank on the Respan Index?

Accepted Answer

DeepSeek V3.2 Exp scores 20.3 out of 100 on the Respan Index v1.1, ranking #95 of 138 models. By category: Coding 5.5, Agents 24.1, Reasoning 15.4, Knowledge & language 19.8, and Human preference 46.9. The Respan Index combines independent and lab-reported benchmark results into one score, using benchmark data collected by llmmetric.com.

Question 8

How does DeepSeek V3.2 Exp score on benchmarks?

Accepted Answer

DeepSeek V3.2 Exp has 17 published benchmark scores, including Aider-Polyglot 74.5%, SimpleQA (agentic tool use) 97.1%, and GPQA-Diamond 79.9%. Each score links to where it was published; the data is collected by llmmetric.com.

DeepSeek V3.2 Exp

Providers

Pricing

Cost by volume

Throughput and latency

Output speed

Response latency

Certified where it counts.

Benchmarks

Respan Indexv1.1

Coding6

Agents4

Reasoning2

Math2

Knowledge1

Arena2

Apps

DeepSeek V3.2 Exp FAQ

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