o1-pro Paid vs PEPerceptron Mk1.5 Paid
o1-pro vs Perceptron Mk1.5 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
o1-pro — full profile › · Perceptron Mk1.5 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$600 /M outputManaged API (no infra to run)
$1.5 /M outputManaged API (no infra to run)
o1-pro vs Perceptron Mk1.5 specs
| Spec | o1-pro | Perceptron Mk1.5 | Winner |
|---|---|---|---|
| Maker | OpenAI | Perceptron | – |
| Type | Proprietary | Proprietary | – |
| Context window | 200K tokens | 37K tokens | |
| Input price | $150/M | $0.15/M | PEPerceptron Mk1.5 |
| Output price | $600/M | $1.5/M | PEPerceptron Mk1.5 |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | No | Yes | PEPerceptron Mk1.5 |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Perceptron Mk1.5 is ~400× cheaper than o1-pro on output tokens ($1.5 vs $600 per M tokens).
- You want frontier performance through a managed API
- You need the longer 200K context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | o1-pro | Perceptron Mk1.5 |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✗ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: o1-pro vs Perceptron Mk1.5
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How o1-pro and Perceptron Mk1.5 score
| Criterion | o1-pro | Perceptron Mk1.5 |
|---|---|---|
| Cost-efficiency | 2.0 | 4.5 |
| Context window | 4.0 | 2.5 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
o1-pro Paid
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Perceptron Mk1.5 Paid
Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...
Frequently asked questions
o1-pro vs Perceptron Mk1.5 — which is cheaper?
Perceptron Mk1.5 is cheaper on output ($1.5/M vs $600/M).
Which has the larger context window?
o1-pro offers the larger context window (200K tokens).
o1-pro vs Perceptron Mk1.5 — which should I pick in 2026?
Choose Perceptron Mk1.5 for the lower output price ($1.5/M vs $600/M). Choose o1-pro if you need the larger 200K context window.
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