Pareto with Jev
Pareto is a model from unbiased, released 2026-09-17. It costs $2.50 per million input tokens and $7.50 per million output tokens, reads up to 262K tokens of context, and writes up to 131,072 tokens in one reply. Through llm11, set model to unbiased/pareto.
- Input price
- $2.50 / 1M
- Output price
- $7.50 / 1M
- Context window
- 262K tokens
- Max output
- 131K tokens
- Cached input
- $0.250 / 1M
- Released
- 2026-09-17
- Accepts
- text, image
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 17% of the 332 priced models we can call cost more.
Using Pareto 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. Pareto does the answering when Jev sends it work, or when you name it yourself. At list price Pareto falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass unbiased/pareto as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Pareto 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 | $0.00275 | $2.75 |
| Question over retrieved documents | 4,000 / 500 | $0.014 | $13.75 |
| Long document summary | 30,000 / 1,000 | $0.082 | $82.50 |
Cheaper models to try
The catalogue has no benchmark score for Pareto, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| OpenAI o3 | $2.00 | $8.00 | 200K | |
| OpenAI GPT-4.1 | $2.00 | $8.00 | 1.05M | |
| OpenAI GPT-5.1-Codex-Max | $1.25 | $10 | 400K | |
| OpenAI GPT-5.1 | $1.25 | $10 | 400K |
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="unbiased/pareto",
messages=[{"role": "user", "content": "Hello"}],
)Questions
- What is Pareto 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. Pareto does the answering when Jev sends it work, or when you name it yourself. At list price Pareto falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass unbiased/pareto as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Pareto a System One model?
- No. Pareto 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 Pareto cost?
- $2.50 per million input tokens and $7.50 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.014, so a thousand of them is about $13.75. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Pareto context window?
- 262,144 tokens, with up to 131,072 tokens in a single reply.
- Does Pareto support tool calling and structured output?
- The catalogue lists tool calling, but it does not list structured output and reasoning controls.
- Can I use Pareto through llm11?
- Yes. Set model to unbiased/pareto on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Pareto?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Pareto falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass unbiased/pareto as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Pareto?
- Nearest in price and below it: OpenAI o3 at $2.00 in and $8.00 out, OpenAI GPT-4.1 at $2.00 in and $8.00 out and OpenAI GPT-5.1-Codex-Max at $1.25 in and $10 out. The catalogue has no benchmark score for Pareto, so this is a price ordering. It does not claim these answer as well.