Perceptron Mk1
by Perceptron · perceptron/perceptron-mk1 · #120 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:32 AM UTC · refreshed hourly
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.15
per 1M tokens
Output
$1.50
per 1M tokens
Blended (3:1)
$0.487
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Perceptron Mk1 (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.487 | $0.0168 | — |
| 50% | $0.487 | $0.0168 | −0% |
| 90% | $0.487 | $0.0168 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000525 | $0.525 |
| Document summary | 8,000 | 1,000 | $0.0027 | $2.70 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0075 | $7.50 |
| Long-context analysis | 150,000 | 5,000 | $0.03 | $30.00 |
Specs
Context window
33K
tokens
Max output
8K
tokens
Input modalities
text, image, video
Tokenizer
Other