GPT-6 Luna Pro with Jev
GPT-6 Luna Pro is a model from OpenAI, released 2026-09-22. It costs $0.100 per million input tokens and $0.500 per million output tokens, reads up to 1.05M tokens of context, and writes up to 128,000 tokens in one reply. Through llm11, set model to openai/gpt-6-luna-pro.
- Input price
- $0.100 / 1M
- Output price
- $0.500 / 1M
- Context window
- 1.05M tokens
- Max output
- 128K tokens
- Cached input
- $0.010 / 1M
- Released
- 2026-09-22
- Accepts
- file, image, text
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 77% of the 332 priced models we can call cost more.
Using GPT-6 Luna Pro 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. GPT-6 Luna Pro does the answering when Jev sends it work, or when you name it yourself. GPT-6 Luna Pro falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
Jev is new, so we have not published results for GPT-6 Luna Pro 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 | $0.00015 | $0.150 |
| Question over retrieved documents | 4,000 / 500 | $0.00065 | $0.650 |
| Long document summary | 30,000 / 1,000 | $0.00350 | $3.50 |
Cheaper models to try
The catalogue has no benchmark score for GPT-6 Luna Pro, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Ministral 3 14B 2512 | $0.200 | $0.200 | 262K | |
| Qwen Qwen3 VL 32B InstructRetires 2026-10-09 | $0.104 | $0.416 | 131K | |
| DeepSeek DeepSeek V4 Flash 0423 | $0.140 | $0.280 | 1.05M | |
| Google Gemini 2.5 Flash LiteRetires 2026-10-20 | $0.100 | $0.400 | 1.05M |
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="openai/gpt-6-luna-pro",
messages=[{"role": "user", "content": "Hello"}],
)More from OpenAI
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| GPT-6 Luna | $0.100 | $0.500 | 1.05M | |
| GPT-6 Sol | $2.00 | $10 | 1.05M | |
| GPT-6 Sol Pro | $2.00 | $10 | 1.05M | |
| GPT-6 Astra | $10 | $50 | 1.05M | |
| GPT-6 Astra Pro | $10 | $50 | 1.05M | |
| GPT-5.6 Luna | $0.200 | $1.20 | 1.05M |
Questions
- What is GPT-6 Luna Pro 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. GPT-6 Luna Pro does the answering when Jev sends it work, or when you name it yourself. GPT-6 Luna Pro falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is GPT-6 Luna Pro a System One model?
- No. GPT-6 Luna Pro 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 GPT-6 Luna Pro cost?
- $0.100 per million input tokens and $0.500 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00065, so a thousand of them is about $0.650. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the GPT-6 Luna Pro context window?
- 1,050,000 tokens, with up to 128,000 tokens in a single reply.
- Does GPT-6 Luna Pro support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use GPT-6 Luna Pro through llm11?
- Yes. Set model to openai/gpt-6-luna-pro on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to GPT-6 Luna Pro?
- Routing decisions are made by Jev, TypeSafe AI's System One model. GPT-6 Luna Pro falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
- What is a cheaper alternative to GPT-6 Luna Pro?
- Nearest in price and below it: Mistral Ministral 3 14B 2512 at $0.200 in and $0.200 out, Qwen Qwen3 VL 32B Instruct at $0.104 in and $0.416 out and DeepSeek DeepSeek V4 Flash 0423 at $0.140 in and $0.280 out. The catalogue has no benchmark score for GPT-6 Luna Pro, so this is a price ordering. It does not claim these answer as well.