DeepSeek V3.2
$1.42
estimated usage cost
1,000 requests × (1,000 uncached input × $0.58 + 500 output × $1.68) / 1,000,000 = $1.42
base rates; no context pricing tiers are published.
Text generation / DeepSeek
DeepSeek V3.2
DeepSeek V3.2 is a text generation model from DeepSeek, available through the Impossibl API. Its published context window is 163,840 tokens. The advertised input rate is $0.58 per million input tokens. The advertised output rate is $1.68 per million output tokens.
api id: deepseek/deepseek-v3-2
how much does deepseek v3.2 cost?
published base api rates · usd per 1m tokens
- input
- $0.58
- output
- $1.68
rates are published by the impossibl api. balance-purchase fees, taxes, tool charges, and workspace-specific pricing are separate.
specifications & capabilities
- creator
- DeepSeek
- model type
- Text generation
- context window
- 163.84k tokens
- maximum output
- not published in the catalog
- input types
- text
- output types
- text
- tool calling
- not verified in the catalog
unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports.
estimate your usage
estimate your api cost
estimate text token usage for your workload. all amounts are in usd.
estimates use published impossibl api usage rates. configured billing adjustments, funding fees, taxes, and custom workspace rates are excluded and may change the final amount.
image and audio usage, cache creation, and additional tool charges are excluded. reasoning tokens count as billable output, even when they are not visible in the response.
compare more Text generation models
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- DeepSeek V4 Flash 0731$0.14 input / 1m tokenscompare →
- DeepSeek V4 Pro$1.74 input / 1m tokenscompare →
independent benchmarks
Results from Artificial Analysis. Each configuration is listed separately. These evaluations describe the tested model configuration; performance and costs can differ on Impossibl. Last checked 2026-09-11.
DeepSeek V3.2 (Non-reasoning)
| Benchmark | Score |
|---|---|
| Intelligence Index | 16.04 |
| Omniscience Index | -46.88 |
| GPQA | 75.05% |
| Humanity’s Last Exam | 11.21% |
| CritPt | 0.86% |
| Terminal-Bench Hard | 32.58% |
| AA-LCR | 45.67% |
| IFBench | 49.05% |
| Tau2 | 78.95% |
| LiveCodeBench | 59.26% |
| AIME 2025 | 59.00% |
| intelligence index (API) | 16 |
Unmeasured scores are omitted. API values retain their source units.
view source ↗DeepSeek V3.2 (Reasoning)
| Benchmark | Score |
|---|---|
| Intelligence Index | 21.49 |
| Omniscience Index | -22.48 |
| GPQA | 84.04% |
| Humanity’s Last Exam | 24.56% |
| CritPt | 2.86% |
| Terminal-Bench v2.1 | 46.82% |
| Terminal-Bench Hard | 35.61% |
| AA-LCR | 73.33% |
| GDPval Elo | 810.24 |
| IFBench | 60.68% |
| Tau2 | 90.64% |
| APEX-Agents | 14.53% |
| LiveCodeBench | 86.24% |
| AIME 2025 | 92.00% |
| coding index (API) | 44.2 |
| intelligence index (API) | 21.5 |
Unmeasured scores are omitted. API values retain their source units.
view source ↗frequently asked questions
What is DeepSeek V3.2?
DeepSeek V3.2 is a text-generation model from DeepSeek, available through the Impossibl API.
How much does DeepSeek V3.2 cost?
DeepSeek V3.2 costs $0.58 per million input tokens and $1.68 per million output tokens through the Impossibl API. All rates are in USD.
What is the context length of DeepSeek V3.2?
DeepSeek V3.2 has a 163,840-token context window through the Impossibl API.
What inputs and outputs does DeepSeek V3.2 support?
DeepSeek V3.2 accepts text as input. DeepSeek V3.2 returns text.
How do I use DeepSeek V3.2 through an API?
DeepSeek V3.2 is available through the Impossibl API. Use deepseek/deepseek-v3-2 as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.
When was DeepSeek V3.2 released?
DeepSeek released DeepSeek V3.2 on December 1, 2025.
sources & coverage
this page describes DeepSeek V3.2 as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes.
model descriptions and release dates, where available, use the creator sources linked in the faq. api prices and limits use the impossibl catalog. benchmark results, where available, are credited to Artificial Analysis in the benchmarks section. report a correction →