GPT-4.1 Nano with Jev
GPT-4.1 Nano is a model from OpenAI, released 2025-04-14. It costs $0.100 per million input tokens and $0.400 per million output tokens, reads up to 1.05M tokens of context, and writes up to 32,768 tokens in one reply. Through llm11, set model to openai/gpt-4.1-nano.
- Input price
- $0.100 / 1M
- Output price
- $0.400 / 1M
- Context window
- 1.05M tokens
- Max output
- 33K tokens
- Cached input
- $0.025 / 1M
- Released
- 2025-04-14
- Accepts
- image, text, file
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 80% of the 332 priced models we can call cost more.
Using GPT-4.1 Nano 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-4.1 Nano does the answering when Jev sends it work, or when you name it yourself. GPT-4.1 Nano falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool.
Jev is new, so we have not published results for GPT-4.1 Nano 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 | $0.00013 | $0.130 |
| Question over retrieved documents | 4,000 / 500 | $0.00060 | $0.600 |
| Long document summary | 30,000 / 1,000 | $0.00340 | $3.40 |
Cheaper models to try
The catalogue has no benchmark score for GPT-4.1 Nano, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Google Gemma 3 27B | $0.080 | $0.450 | 131K | |
| Meta Llama 3.3 70B Instruct | $0.100 | $0.320 | 131K | |
| Qwen Qwen3 235B A22B Instruct 2507 | $0.087 | $0.350 | 262K | |
| Google Gemma 4 31B | $0.090 | $0.340 | 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-4.1-nano",
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-4.1 Nano 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-4.1 Nano does the answering when Jev sends it work, or when you name it yourself. GPT-4.1 Nano falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is GPT-4.1 Nano a System One model?
- No. GPT-4.1 Nano 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-4.1 Nano cost?
- $0.100 per million input tokens and $0.400 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00060, so a thousand of them is about $0.600. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the GPT-4.1 Nano context window?
- 1,047,576 tokens, with up to 32,768 tokens in a single reply.
- Does GPT-4.1 Nano 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-4.1 Nano through llm11?
- Yes. Set model to openai/gpt-4.1-nano on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to GPT-4.1 Nano?
- Routing decisions are made by Jev, TypeSafe AI's System One model. GPT-4.1 Nano falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool.
- What is a cheaper alternative to GPT-4.1 Nano?
- Nearest in price and below it: Google Gemma 3 27B at $0.080 in and $0.450 out, Meta Llama 3.3 70B Instruct at $0.100 in and $0.320 out and Qwen Qwen3 235B A22B Instruct 2507 at $0.087 in and $0.350 out. The catalogue has no benchmark score for GPT-4.1 Nano, so this is a price ordering. It does not claim these answer as well.