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CostPerPrompt

DeepSeek V3.2 Exp API Pricing

DeepSeek · context window 164K · prices updated 2026-09-15

Input per 1M tokens
$0.27
Output per 1M tokens
$0.41
Cached input per 1M
No discounted cached tier on this model

Where DeepSeek V3.2 Exp sits on price

At $0.41 per million output tokens, DeepSeek V3.2 Exp is a budget tier model — 5.1× cheaper than the median output price of $2.08, which puts it cheaper than 82% and pricier than 18% of the models we track. It sits 6th cheapest of the 18 DeepSeek models we track. Output is only 1.5× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
2,439,024
One full context fill
$0.0442
Cheaper than
82% of tracked models

What real workloads cost on DeepSeek V3.2 Exp

These three workloads are the ones teams actually run on a budget-priced model — a $0.41/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. $0.0001 $697
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0002 $5.90
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.001 $305

Model your exact traffic in the API cost calculator — it preloads DeepSeek V3.2 Exp with caching and batch options.

DeepSeek V3.2 Exp price history

DeepSeek V3.2 Exp's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 12 of DeepSeek's own 18 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

DeepSeek V3.2 Exp vs Qwen3 VL 32B Instruct

The closest-priced alternative from another vendor is Qwen3 VL 32B Instruct (Alibaba (Qwen)) — priced within a rounding error on output, with $0.166 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Qwen3 VL 32B Instruct pricing →

Cheaper alternatives

More DeepSeek models

Frequently asked questions

How much does the DeepSeek V3.2 Exp API cost?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens and no discounted cached-input tier. That works out to roughly 2,439,024 output tokens per dollar.

What does the high-volume classification workload cost on DeepSeek V3.2 Exp?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0.0001 per request and $697 per month on DeepSeek V3.2 Exp. Short output, huge volume: the input price dominates the bill.

What does it cost to fill DeepSeek V3.2 Exp's 164K context window?

Sending 164K of input in a single request costs $0.0442 at $0.27 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.

Is DeepSeek V3.2 Exp worth the price?

DeepSeek V3.2 Exp is in the cheapest end of the market — cheaper than 82% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.