Perceptron Mk1.5 API Pricing
Perceptron Mk1.5 costs $0.15 per 1M input tokens and $1.50 per 1M output tokens on US (Other)'s API. Prices are provider list prices in USD, refreshed as sources update; see the Perceptron Mk1.5 model profile for capability scores.
Price List
| Rate | Price (USD) | Notes |
|---|---|---|
| Input | $0.15 | per 1M tokens |
| Output | $1.50 | per 1M tokens |
| Blended input + output | $1.65 | 1M in + 1M out at list price |
| Context window | 37K tokens |
What a Workload Costs
Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Perceptron Mk1.5.
| Workload | Cost | Tokens |
|---|---|---|
| Short chat turn | $0.00090 | 1K in / 500 out |
| Summarize a long document | $0.018 | 100K in / 2K out |
| Agentic coding session | $0.225 | 500K in / 100K out |
| 1M input + 1M output tokens | $1.65 | 1M in / 1M out |
Effective Cost
In AI IQ's scoring, Perceptron Mk1.5's list price is adjusted by a token-usage multiplier of 0.683, giving an effective cost of $1.13 per 1M input + output tokens. That places it #35 of 135 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.
Cheaper Alternatives at Similar Capability
Models with a lower effective cost that score within a few IQ points of Perceptron Mk1.5, or better.
| Model | Provider | IQ | Effective Cost / 1M |
|---|---|---|---|
| gpt-6-luna | OpenAI | 126 | $0.8444 |
| mimo-v2.6-flash | Xiaomi | 121 | $0.6707 |
| mimo-v2.5-pro | Xiaomi | 116 | $1.09 |
| Agnes 2.5 Pro Beta | World (Other) | 109 | $0.5091 |
| mimo-v2-flash | Xiaomi | 106 | $0.3156 |
| Muse Glimmer | Meta | 106 | $0.6238 |