Compare Llama 4 Maverick from Meta Llama and Perceptron Mk1 from perceptron on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


Llama 4 Maverick and Perceptron Mk1 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Llama 4 Maverick, from Meta Llama, has a 1,048,576-token context window and is priced at $0.1875/M tokens input, $0.6525/M tokens output on OpenRouter.
Perceptron Mk1, from perceptron, has a 32,768-token context window and is priced at $0.15/M tokens input, $1.50/M tokens output on OpenRouter.
| Attribute | Llama 4 Maverick | Perceptron Mk1 |
|---|---|---|
| Input price | $0.1875/M tokens | $0.15/M tokens |
| Output price | $0.6525/M tokens | $1.50/M tokens |
| Context window | 1,048,576 tokens | 32,768 tokens |
| Intelligence Index | 9.3 | Not available |
| Coding Index | 16.3 | Not available |
| Agentic Index | 0.6 | Not available |
| Latency (p50) | 0.63 s | 0.69 s |
| Throughput (p50) | 20.0 tok/s | 27.0 tok/s |
Benchmark data updated
Llama 4 Maverick and Perceptron Mk1 trade off on price: Llama 4 Maverick costs $0.1875/M tokens input and $0.6525/M tokens output, while Perceptron Mk1 costs $0.15/M tokens input and $1.50/M tokens output, so Perceptron Mk1 is cheaper for input tokens and Llama 4 Maverick is cheaper for output tokens.
Llama 4 Maverick has the longer context window at 1,048,576 tokens, compared with 32,768 tokens for Perceptron Mk1.
Perceptron Mk1 is faster on OpenRouter, generating a median 27.0 tokens per second compared with 20.0 tokens per second for Llama 4 Maverick.