Perceptron · model

Perceptron Mk1

$0.15/1M in · $1.50/1M out · 33K context. That's cheaper than 50% 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
$1.50
input $0.15/1M · routed
Context
33K
Input / 1M
$0.15
Output / 1M
$1.50
Modality
text + image + video
Provider
Perceptron
Tokenizer
Other

Snapshot · source: OpenRouter ↗ · how we measure →

cost at a typical workload
$195 / mo

For 1,500 input + 500 output tokens across 200,000 requests/month. That's 33× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).

Tune the workload in the calculator →

output price history
output / 1M

Flat at $1.50 since tracking began 2026-06-14. Full history →

Where it fits

  • Multimodal prompts — accepts image input alongside text.

Watch for

  • Priced from OpenRouter's routed market, not a first-party list price — availability and rate can shift without notice.

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.

Related models

See how the leading models compare head-to-head →

How to read Perceptron Mk1's pricing

Two numbers decide most of the bill: $0.15/1M for input (everything you send — prompt, context, attachments) and $1.50/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 10× 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 Perceptron Mk1 cost per million tokens?

Perceptron Mk1 is priced at $0.15 per 1M input tokens and $1.50 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 Perceptron Mk1's context window?

Perceptron Mk1 has a 33K-token context window — roughly 49 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.

Related