GPT-4 Paid vs PEPerceptron Mk1.5 Paid
GPT-4 vs Perceptron Mk1.5 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4 — 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.
$60 /M outputManaged API (no infra to run)
$1.5 /M outputManaged API (no infra to run)
GPT-4 vs Perceptron Mk1.5 specs
| Spec | GPT-4 | Perceptron Mk1.5 | Winner |
|---|---|---|---|
| Maker | OpenAI | Perceptron | – |
| Type | Proprietary | Proprietary | – |
| Context window | 8K tokens | 37K tokens | PEPerceptron Mk1.5 |
| Input price | $30/M | $0.15/M | PEPerceptron Mk1.5 |
| Output price | $60/M | $1.5/M | PEPerceptron Mk1.5 |
| Vision / multimodal | No | Yes | PEPerceptron Mk1.5 |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Perceptron Mk1.5 is ~40× cheaper than GPT-4 on output tokens ($1.5 vs $60 per M tokens).
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You need the longer 37K context window
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | GPT-4 | Perceptron Mk1.5 |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: GPT-4 vs Perceptron Mk1.5
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How GPT-4 and Perceptron Mk1.5 score
| Criterion | GPT-4 | Perceptron Mk1.5 |
|---|---|---|
| Cost-efficiency | 2.0 | 4.5 |
| Context window | 2.0 | 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
GPT-4 Paid
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
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
GPT-4 vs Perceptron Mk1.5 — which is cheaper?
Perceptron Mk1.5 is cheaper on output ($1.5/M vs $60/M).
Which has the larger context window?
Perceptron Mk1.5 offers the larger context window (37K tokens).
GPT-4 vs Perceptron Mk1.5 — which should I pick in 2026?
Choose Perceptron Mk1.5 for the lower output price ($1.5/M vs $60/M). It also gives you the larger 37K context window.
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