GPT-4o-mini with Jev
GPT-4o-mini is a model from OpenAI, released 2024-07-18. It costs $0.150 per million input tokens and $0.600 per million output tokens, reads up to 128K tokens of context, and writes up to 16,384 tokens in one reply. Through llm11, set model to openai/gpt-4o-mini.
- Input price
- $0.150 / 1M
- Output price
- $0.600 / 1M
- Context window
- 128K tokens
- Max output
- 16K tokens
- Cached input
- $0.075 / 1M
- Released
- 2024-07-18
- Accepts
- text, image, file
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 73% of the 332 priced models we can call cost more.
Using GPT-4o-mini 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-4o-mini does the answering when Jev sends it work, or when you name it yourself. GPT-4o-mini 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-4o-mini 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 | $0.00019 | $0.195 |
| Question over retrieved documents | 4,000 / 500 | $0.00090 | $0.900 |
| Long document summary | 30,000 / 1,000 | $0.00510 | $5.10 |
Cheaper models to try
The catalogue has no benchmark score for GPT-4o-mini, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3.8 Omni Flash | $0.150 | $0.470 | 1M | |
| Qwen Qwen3.8 Flash | $0.150 | $0.470 | 1M | |
| Qwen Qwen3 30B A3B | $0.120 | $0.500 | 131K | |
| Qwen Qwen3 VL 8B InstructRetires 2026-10-09 | $0.117 | $0.455 | 262K |
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-4o-mini",
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 Luna Pro | $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 |
Questions
- What is GPT-4o-mini 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-4o-mini does the answering when Jev sends it work, or when you name it yourself. GPT-4o-mini 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-4o-mini a System One model?
- No. GPT-4o-mini 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-4o-mini cost?
- $0.150 per million input tokens and $0.600 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00090, so a thousand of them is about $0.900. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the GPT-4o-mini context window?
- 128,000 tokens, with up to 16,384 tokens in a single reply.
- Does GPT-4o-mini support tool calling and structured output?
- The catalogue lists tool calling and structured output, but it does not list reasoning controls.
- Can I use GPT-4o-mini through llm11?
- Yes. Set model to openai/gpt-4o-mini on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to GPT-4o-mini?
- Routing decisions are made by Jev, TypeSafe AI's System One model. GPT-4o-mini 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-4o-mini?
- Nearest in price and below it: Qwen Qwen3.8 Omni Flash at $0.150 in and $0.470 out, Qwen Qwen3.8 Flash at $0.150 in and $0.470 out and Qwen Qwen3 30B A3B at $0.120 in and $0.500 out. The catalogue has no benchmark score for GPT-4o-mini, so this is a price ordering. It does not claim these answer as well.