CHEAPEST INPUT TODAY Nova Micro $0.035/MBLENDED PRICE SPREAD 1102× (Nova Micro → GPT-5.4 Pro)128 MODELS · 16 PROVIDERS re-checked every morning by a GitHub ActionFOLLOW PRICE CHANGES commit feed → Data & Alerts

DeepSeek V3.2 pricing

DeepSeek · deepseek-deepseek-v3.2 · 164K context

Estimate DeepSeek V3.2 for your workload Source and check date

Rates last checked against LiteLLM’s community-maintained price map on 2026-09-29.

What DeepSeek V3.2 costs

USD, standard tier, global endpoint
RatePer 1M tokensPer 1K tokensWhat it covers
Input $0.28 $0.00028 Every token you send: prompt, history, documents.
Output $0.4 $0.0004 Every token the model generates, including hidden reasoning tokens.
Cached input $0.028 $0.000028 Input served from the provider’s prompt cache.

What that means in practice

The same three workloads are costed on every model page, so these numbers are directly comparable across the catalog. No prompt caching and no batch discount is assumed — the figures are what you pay before you optimize anything.

Support chatbot

2,500 six-turn conversations a day

$723 / month

$0.0096 per conversation · $8,672 a year

An 800-token system prompt, 400-token questions and 900-token answers, over six turns — each turn re-sending everything before it.

Document summarizer

1,000 single-shot summaries a day

$112 / month

$0.0037 per conversation · $1,345 a year

One 12,000-token document in, an 800-token summary out, no conversation history. The case where input dominates the bill.

Coding agent

200 twelve-turn sessions a day

$606 / month

$0.101 per conversation · $7,275 a year

A 3,000-token system prompt, 1,500-token instructions and 2,500-token responses over twelve turns. Long sessions are where the quadratic cost of re-sent history stops being theoretical.

Change the assumptions in the calculator

Cheaper, and scored at least as capable

Every model below costs less on a blended rate and carries a capability score at least as high as DeepSeek V3.2’s. The score is a rough estimate, not a benchmark — treat it as a shortlist, not a verdict.

ModelInputOutputBlended saving
Claude Haiku 5.5 $0.1 $0.5 35%
GLM-5.3 Flash $0.15 $0.5 23%
MiMo V2.6 Flash $0.14 $0.28 44%
GPT-6 Luna $0.1 $0.5 35%

Head to head

Specification

Context window164K tokens
Maximum output164K tokens
ProviderDeepSeek
StatusRetired by its vendor
Reasoning modelYes
VisionNo
Token countingEstimated at ~3.4 characters per token (Estimate — DeepSeek's tokenizer handles Chinese far more densely than English)

Price history

PromptSpend has recorded DeepSeek V3.2 since 2026-08-02, and none of its rates has changed in that time. Tracking began on 2026-08-02, so anything the vendor did before then is not on record here.

Every row, with the commit that published it, is in the price-history dataset; price news is also available as an Atom feed.

Where these numbers come from

Last checked against its source on 2026-09-29. Source of record: LiteLLM’s community-maintained price map.

DeepSeek’s own pricing page

Regional and data-residency premiums, priority tiers, server-side tool fees and negotiated discounts are not included. Prices change without notice; this page is rebuilt every time the catalog does.

Common questions

How much does DeepSeek V3.2 cost?

DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.4 per 1M output tokens at the standard tier, as last checked against LiteLLM’s community-maintained price map on 2026-09-29.

How much does DeepSeek V3.2 cost to run for a month?

On PromptSpend's three standard workloads, DeepSeek V3.2 costs about $723 for a support chatbot, $112 for a document summarizer and $606 for a coding agent each month. No prompt caching and no batch discount is assumed, and the same workloads are costed on every model page, so the figures compare directly.

Is there a cheaper alternative to DeepSeek V3.2?

Yes. Claude Haiku 5.5 ($0.1 in, $0.5 out), GLM-5.3 Flash ($0.15 in, $0.5 out) and MiMo V2.6 Flash ($0.14 in, $0.28 out) cost less on a blended rate and carry a capability score at least as high. The score is a rough estimate, not a benchmark, so treat the list as a shortlist.

How large is the context window of DeepSeek V3.2?

DeepSeek V3.2 accepts up to 164K tokens of context and can produce up to 164K tokens of output.

Has the price of DeepSeek V3.2 changed?

No vendor change is on record. PromptSpend has recorded DeepSeek V3.2 since 2026-08-02 and none of its rates has moved. PromptSpend began tracking prices on 2026-08-02, so earlier changes are not on record.

Where do the prices for DeepSeek V3.2 come from?

They come from LiteLLM’s community-maintained price map and were last checked on 2026-09-29. Regional and data-residency premiums, priority tiers, server-side tool fees and negotiated discounts are not included.

Standard-tier, global-endpoint list prices in USD. This build read the catalog generated 2026-11-11.