DeepSeek V3.2 API Pricing
DeepSeek · context window 164K · prices updated 2026-09-29
Where DeepSeek V3.2 sits on price
At $0.42 per million output tokens, DeepSeek V3.2 is a budget tier model — 5.2× cheaper than the median output price of $2.20, which puts it cheaper than 82% and pricier than 18% of the models we track. It sits 5th cheapest of the 15 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.
Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.
What real workloads cost on DeepSeek V3.2
These three workloads are the ones teams actually run on a budget-priced model — a $0.42/1M 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 | $722 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0.0002 | $6.09 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.0011 | $315 |
Model your exact traffic in the API cost calculator — it preloads DeepSeek V3.2 with caching and batch options.
DeepSeek V3.2 price history
DeepSeek last raised DeepSeek V3.2's output price on Sep 28, 2026 (+5% per output token), from $0.269/$0.4 to $0.28/$0.42 per 1M in/out. That is one of 7 repricings in the 58 days we have tracked it — worth knowing before you hard-code today's rate into a budget.
| Date | Input /1M | Output /1M | Output change |
|---|---|---|---|
| Aug 2, 2026 (tracking began) | $0.269 | $0.4 | — |
| Aug 8, 2026 | $0.26 | $0.38 | -5% |
| Aug 9, 2026 | $0.269 | $0.4 | +5% |
| Aug 22, 2026 | $0.26 | $0.38 | -5% |
| Aug 28, 2026 | $0.269 | $0.4 | +5% |
| Aug 29, 2026 | $0.26 | $0.38 | -5% |
| Aug 30, 2026 | $0.269 | $0.4 | +5% |
| Sep 28, 2026 | $0.28 | $0.42 | +5% |
Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).
DeepSeek V3.2 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 $0.176 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 API cost?
DeepSeek V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens, with cached input at $0.028 per million (90% cheaper). That works out to roughly 2,380,952 output tokens per dollar.
› What does the high-volume classification workload cost on DeepSeek V3.2?
High-volume classification — 200K requests/day (400 in / 20 out) costs about $0.0001 per request and $722 per month on DeepSeek V3.2. Short output, huge volume: the input price dominates the bill.
› What does it cost to fill DeepSeek V3.2's 164K context window?
Sending 164K of input in a single request costs $0.0459 at $0.28 per million tokens — before any output. With prompt caching that same fill drops to about $0.0046 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.
› Is DeepSeek V3.2 worth the price?
DeepSeek V3.2 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.