Gemini 4 Argon with Jev
Gemini 4 Argon is a model from Google, released 2026-10-13. It costs $2.00 per million input tokens and $10 per million output tokens, reads up to 1.05M tokens of context, and writes up to 943,718 tokens in one reply. Through llm11, set model to google/gemini-4-argon.
- Input price
- $2.00 / 1M
- Output price
- $10 / 1M
- Context window
- 1.05M tokens
- Max output
- 944K tokens
- Cached input
- $0.100 / 1M
- Released
- 2026-10-13
- Accepts
- audio, file, image, text, video
- Intelligence index
- 50.4
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 15% of the 327 priced models we can call cost more.
Using Gemini 4 Argon 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. Gemini 4 Argon does the answering when Jev sends it work, or when you name it yourself. Gemini 4 Argon falls in the llm11-balanced 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 Gemini 4 Argon 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 | $0.00300 | $3.00 |
| Question over retrieved documents | 4,000 / 500 | $0.013 | $13.00 |
| Long document summary | 30,000 / 1,000 | $0.070 | $70.00 |
Cheaper models to try
Nearest in price and below Gemini 4 Argon, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| OpenAI GPT-6.1 Terra | $1.00 | $5.00 | 1.05M | 51.3 |
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="google/gemini-4-argon",
messages=[{"role": "user", "content": "Hello"}],
)More from Google
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Gemini 3.8 Flash | $0.825 | $4.13 | 1.05M | |
| Gemini 3.7 Flash | $0.750 | $3.75 | 1.05M | |
| Gemini 3.5 Flash Lite | $0.300 | $2.50 | 1.05M | |
| Gemini 3.6 Flash | $0.750 | $3.75 | 1.05M | |
| Gemini 3.5 Flash | $1.50 | $9.00 | 1.05M | |
| Gemini 3.1 Flash Lite | $0.250 | $1.50 | 1.05M |
Questions
- What is Gemini 4 Argon 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. Gemini 4 Argon does the answering when Jev sends it work, or when you name it yourself. Gemini 4 Argon falls in the llm11-balanced 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 Gemini 4 Argon a System One model?
- No. Gemini 4 Argon 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 Gemini 4 Argon cost?
- $2.00 per million input tokens and $10 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.013, so a thousand of them is about $13.00. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Gemini 4 Argon context window?
- 1,048,576 tokens, with up to 943,718 tokens in a single reply.
- Does Gemini 4 Argon support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Gemini 4 Argon through llm11?
- Yes. Set model to google/gemini-4-argon on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Gemini 4 Argon?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Gemini 4 Argon falls in the llm11-balanced 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 Gemini 4 Argon?
- Nearest in price and below it: OpenAI GPT-6.1 Terra at $1.00 in and $5.00 out. Nearest in price and below Gemini 4 Argon, each within a few points of it on the intelligence index.