Mistral Large 4 with Jev
Mistral Large 4 is a model from Mistral, released 2026-10-06. It costs $0.680 per million input tokens and $2.09 per million output tokens, reads up to 524K tokens of context, and writes up to 262,144 tokens in one reply. Through llm11, set model to mistralai/mistral-large-4-0.
- Input price
- $0.680 / 1M
- Output price
- $2.09 / 1M
- Context window
- 524K tokens
- Max output
- 262K tokens
- Cached input
- $0.070 / 1M
- Released
- 2026-10-06
- Accepts
- text, image
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 39% of the 336 priced models we can call cost more.
Using Mistral Large 4 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. Mistral Large 4 does the answering when Jev sends it work, or when you name it yourself. Mistral Large 4 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 Mistral Large 4 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 | $0.00076 | $0.758 |
| Question over retrieved documents | 4,000 / 500 | $0.00376 | $3.76 |
| Long document summary | 30,000 / 1,000 | $0.022 | $22.49 |
Cheaper models to try
The catalogue has no benchmark score for Mistral Large 4, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| DeepSeek DeepSeek V4 Pro 0813 | $0.660 | $1.98 | 1.05M | |
| Qwen Qwen3.8 27B | $0.425 | $2.55 | 1M | |
| DeepSeek R1 0528 | $0.500 | $2.15 | 164K | |
| Google Gemini 3.5 Flash Lite | $0.300 | $2.50 | 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="mistralai/mistral-large-4-0",
messages=[{"role": "user", "content": "Hello"}],
)More from Mistral
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Medium 3.5 | $1.50 | $7.50 | 262K | |
| Mistral Small 4 | $0.150 | $0.600 | 262K | |
| Devstral 2 2512 | $0.400 | $2.00 | 262K | |
| Ministral 3 14B 2512 | $0.200 | $0.200 | 262K | |
| Ministral 3 3B 2512 | $0.100 | $0.100 | 131K | |
| Ministral 3 8B 2512 | $0.150 | $0.150 | 262K |
Questions
- What is Mistral Large 4 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. Mistral Large 4 does the answering when Jev sends it work, or when you name it yourself. Mistral Large 4 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 Mistral Large 4 a System One model?
- No. Mistral Large 4 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 Mistral Large 4 cost?
- $0.680 per million input tokens and $2.09 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00376, so a thousand of them is about $3.76. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Mistral Large 4 context window?
- 524,288 tokens, with up to 262,144 tokens in a single reply.
- Does Mistral Large 4 support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Mistral Large 4 through llm11?
- Yes. Set model to mistralai/mistral-large-4-0 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Mistral Large 4?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Mistral Large 4 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 Mistral Large 4?
- Nearest in price and below it: DeepSeek DeepSeek V4 Pro 0813 at $0.660 in and $1.98 out, Qwen Qwen3.8 27B at $0.425 in and $2.55 out and DeepSeek R1 0528 at $0.500 in and $2.15 out. The catalogue has no benchmark score for Mistral Large 4, so this is a price ordering. It does not claim these answer as well.