deepseek
// deepseek
DeepSeek V3.2 Exp
deepseek/deepseek-v3.2-exp
DeepSeek V3.2 Exp costs $0.270 per 1M input tokens and $0.410 per 1M output tokens with a 164K-token context window.
A reasoning, tool-calling model from deepseek, released Sep 29, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.270
- Output / 1M
- $0.410
- Context
- 164K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.270 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.410 |
| Blended price 3:1 input:output — #104 cheapest of 343 listed models | $0.305 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 163,840 tokens |
| Max output | 65,536 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | 2025-07-31 |
| Listed | Sep 29, 2025 |
What DeepSeek V3.2 Exp costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $97.60/mo |
| RAG assistant 8K in / 600 out × 100K requests | $240.60/mo |
| Coding agent 40K in / 4K out × 20K requests | $248.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $300.75/mo |
| Bulk classification 500 in / 20 out × 5M requests | $716.00/mo |
Compare DeepSeek V3.2 Exp with
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DeepSeek V3.2 Exp vs GPT-6 Luna
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DeepSeek V3.2 Exp vs DeepSeek V4.1 Flash
DeepSeek V3.2 Exp FAQ
How much does DeepSeek V3.2 Exp cost?
DeepSeek V3.2 Exp lists at $0.270 per 1M input tokens and $0.410 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $240.60 at list price.
What is the context window of DeepSeek V3.2 Exp?
DeepSeek V3.2 Exp accepts up to 163,840 tokens of context and can return up to 65,536 output tokens per response.
Does DeepSeek V3.2 Exp support tool calling?
Yes — DeepSeek V3.2 Exp supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does DeepSeek V3.2 Exp score on benchmarks?
LiveBench has not published a run for DeepSeek V3.2 Exp yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for DeepSeek V3.2 Exp?
On OpenRouter the model ID is "deepseek/deepseek-v3.2-exp". It was listed on Sep 29, 2025.
More from deepseek
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.