Cheap160K contextDeepSeek

DeepSeek: DeepSeek V3.2

DeepSeek V3.2 is the kind of model you pick when you want competent reasoning without paying premium rates. It sits firmly in the cheap tier, with 100 short chats at about $0.02, a long PDF Q&A run at about $0.02, and even 1,000 coding completions around $0.20. The non-obvious win is agent work: a 50-step workflow still lands near $0.02, which makes experimentation unusually affordable.

Best for

  • Building agents that call tools repeatedly without running up your bill.
  • Coding assistance when you need lots of completions for very little money.
  • Extracting structured answers from long documents and multi-step prompts.

Not ideal for

  • Teams looking for a bundled consumer subscription, since none are listed in our catalog.
  • Buyers who want a clear premium-tier signal rather than a cheap, utility-first model.

What it costs in real life

Computed from OpenRouter API pricing ($0.26 input / $0.38 output per 1M tokens)

100 short chats(50K in / 30K out)
$0.02Cheap
1 long PDF + questions(80K in / 5K out)
$0.02Cheap
1,000 coding completions(200K in / 400K out)
$0.20Cheap
Agent workflow (50 steps)(50K in / 25K out)
$0.02Cheap

Variants

NameContextInput/1MOutput/1M
DeepSeek: DeepSeek V3.2160K$0.26$0.38
DeepSeek: DeepSeek V3.2 Exp160K$0.27$0.41

Frequently Asked Questions

Is DeepSeek V3.2 worth it for coding and agent tasks?

Yes, if your priority is cost-efficient volume. The pricing is low enough that 1,000 coding completions come out to about $0.20, and a 50-step agent workflow is about $0.02, so you can test ideas freely without treating every run like a budget event.

How much does DeepSeek V3.2 actually cost to use?

The API price is $0.26 per 1M input tokens and $0.38 per 1M output tokens. That translates into very cheap real work: roughly $0.02 for 100 short chats and about $0.02 for one long PDF plus questions.

Should I use DeepSeek V3.2 instead of a more expensive model?

Use it when you need solid reasoning, tool use, and structured output at low cost. If your buying logic is simple—get the most work done per dollar—this family makes a strong case, especially for automation and repeated coding tasks.

Capabilities

Vision
Tool calling
Structured output
Reasoning
Open weights
Long context

Cheapest access path

The cheapest known way to use it is direct API usage: $0.26 per 1M input tokens and $0.38 per 1M output tokens. In practice, that keeps common usage tiny in cost—about $0.02 for 100 short chats or a 50-step agent workflow, according to StackTrim AI.

cheapreasoningtoolsstructured outputcodinglong context