DeepSeek · model

DeepSeek V3.1

$0.21/1M in · $0.79/1M out · 164K context. That's cheaper than 65% of the 298 models we track, by output price. Here's what it costs, how its price has moved, and where it fits.

output price · per 1M tokens
$0.79
input $0.21/1M · routed
Context
164K
Input / 1M
$0.21
Output / 1M
$0.79
Modality
Text only
Provider
DeepSeek
Tokenizer
DeepSeek

Snapshot · source: OpenRouter ↗ · how we measure →

cost at a typical workload
$142 / mo

For 1,500 input + 500 output tokens across 200,000 requests/month. That's 24× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).

Tune the workload in the calculator →

output price history
output / 1M

2026-06-14 → 2026-06-15. Full history →

Where it fits

  • A mid-range option — $0.21 in / $0.79 out per 1M with a 164K-token context.

Watch for

  • Priced from OpenRouter's routed market, not a first-party list price — availability and rate can shift without notice.
  • Text-only — no image, audio, or file input.

These notes are derived from price, context and modality — structural facts, not measured quality. Measured cost-to-finish-a-task lives on the real-cost index.

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How to read DeepSeek V3.1's pricing

Two numbers decide most of the bill: $0.21/1M for input (everything you send — prompt, context, attachments) and $0.79/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 3.8× the input rate here, so the shape of your workload — how much it reads versus writes — matters as much as the headline figure. This row is OpenRouter's routed market price; it can move as providers and routing change.

Frequently asked questions

How much does DeepSeek V3.1 cost per million tokens?

DeepSeek V3.1 is priced at $0.21 per 1M input tokens and $0.79 per 1M output tokens, from OpenRouter's routed market price as of the 2026-06-15 snapshot. Output is the figure that usually drives the bill. Enter your own token volumes in the cost calculator for a monthly estimate.

What is DeepSeek V3.1's context window?

DeepSeek V3.1 has a 164K-token context window — roughly 246 pages of text. Prompt, attachments, conversation and the model's own output all share that budget, and every token you send is billed at the input rate.

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