o1 vs Perceptron Mk1.5 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
o1 — 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.
| Spec | o1 | Perceptron Mk1.5 | Winner |
|---|---|---|---|
| Maker | OpenAI | Perceptron | – |
| Type | Proprietary | Proprietary | – |
| Context window | 200K tokens | 37K tokens | |
| Input price | $15/M | $0.15/M | PEPerceptron Mk1.5 |
| Output price | $60/M | $1.5/M | PEPerceptron Mk1.5 |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Perceptron Mk1.5 is ~40× cheaper than o1 on output tokens ($1.5 vs $60 per M tokens).
| Capability | o1 | Perceptron Mk1.5 |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | o1 | 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 | 5.0 | 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.
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
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,...
Perceptron Mk1.5 is cheaper on output ($1.5/M vs $60/M).
o1 offers the larger context window (200K tokens).
Choose Perceptron Mk1.5 for the lower output price ($1.5/M vs $60/M). Choose o1 if you need the larger 200K context window.
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