Perceptron Mk1 with Jev
Perceptron Mk1 is a model from Perceptron, released 2026-05-12. It costs $0.150 per million input tokens and $1.50 per million output tokens, reads up to 33K tokens of context, and writes up to 8,192 tokens in one reply. Through llm11, set model to perceptron/perceptron-mk1.
- Input price
- $0.150 / 1M
- Output price
- $1.50 / 1M
- Context window
- 33K tokens
- Max output
- 8K tokens
- Released
- 2026-05-12
- Accepts
- text, image, video
Read from the live catalogue and refreshed daily. At blended list price, 60% of the 332 priced models we can call cost more.
Using Perceptron Mk1 with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Perceptron Mk1 does the answering when Jev sends it work, or when you name it yourself. At list price Perceptron Mk1 falls in the llm11-fast band, but no pack routes to it because Perceptron is not one of the labs the packs draw from. You can still pin it: pass perceptron/perceptron-mk1 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Perceptron Mk1 with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00038 | $0.375 |
| Question over retrieved documents | 4,000 / 500 | $0.00135 | $1.35 |
| Long document summary | 30,000 / 1,000 | $0.00600 | $6.00 |
Cheaper models to try
The catalogue has no benchmark score for Perceptron Mk1, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| DeepSeek DeepSeek V3.1 Terminus | $0.300 | $1.00 | 164K | |
| Qwen Qwen3 Coder 480B A35B | $0.300 | $1.00 | 262K | |
| OpenAI GPT-5.4 Nano | $0.200 | $1.25 | 400K | |
| DeepSeek DeepSeek V3 | $0.257 | $1.03 | 164K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="perceptron/perceptron-mk1",
messages=[{"role": "user", "content": "Hello"}],
)More from Perceptron
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Perceptron Mk1.5 | $0.150 | $1.50 | 37K |
Questions
- What is Perceptron Mk1 with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Perceptron Mk1 does the answering when Jev sends it work, or when you name it yourself. At list price Perceptron Mk1 falls in the llm11-fast band, but no pack routes to it because Perceptron is not one of the labs the packs draw from. You can still pin it: pass perceptron/perceptron-mk1 as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Perceptron Mk1 a System One model?
- No. Perceptron Mk1 answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Perceptron Mk1 cost?
- $0.150 per million input tokens and $1.50 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00135, so a thousand of them is about $1.35. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Perceptron Mk1 context window?
- 32,768 tokens, with up to 8,192 tokens in a single reply.
- Does Perceptron Mk1 support tool calling and structured output?
- The catalogue lists structured output and reasoning controls, but it does not list tool calling.
- Can I use Perceptron Mk1 through llm11?
- Yes. Set model to perceptron/perceptron-mk1 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Perceptron Mk1?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Perceptron Mk1 falls in the llm11-fast band, but no pack routes to it because Perceptron is not one of the labs the packs draw from. You can still pin it: pass perceptron/perceptron-mk1 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Perceptron Mk1?
- Nearest in price and below it: DeepSeek DeepSeek V3.1 Terminus at $0.300 in and $1.00 out, Qwen Qwen3 Coder 480B A35B at $0.300 in and $1.00 out and OpenAI GPT-5.4 Nano at $0.200 in and $1.25 out. The catalogue has no benchmark score for Perceptron Mk1, so this is a price ordering. It does not claim these answer as well.