Mistral Large 3 2512 with Jev
Mistral Large 3 2512 is a model from Mistral, released 2025-12-01. It costs $0.500 per million input tokens and $1.50 per million output tokens, reads up to 262K tokens of context, and writes up to 209,715 tokens in one reply. Through llm11, set model to mistralai/mistral-large-2512.
- Input price
- $0.500 / 1M
- Output price
- $1.50 / 1M
- Context window
- 262K tokens
- Max output
- 210K tokens
- Cached input
- $0.050 / 1M
- Released
- 2025-12-01
- Accepts
- text, image, file
- Intelligence index
- 9.3
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 48% of the 332 priced models we can call cost more.
Using Mistral Large 3 2512 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 3 2512 does the answering when Jev sends it work, or when you name it yourself. Mistral Large 3 2512 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 3 2512 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 | $0.00055 | $0.550 |
| Question over retrieved documents | 4,000 / 500 | $0.00275 | $2.75 |
| Long document summary | 30,000 / 1,000 | $0.017 | $16.50 |
Cheaper models to try
Nearest in price and below Mistral Large 3 2512, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Qwen Qwen3 235B A22B Thinking 2507Retires 2026-10-09 | $0.230 | $2.30 | 131K | 12.7 | |
| Qwen Qwen3.5-122B-A10B | $0.260 | $2.08 | 262K | 15.6 | |
| OpenAI GPT-5 Mini | $0.250 | $2.00 | 400K | 16.8 | |
| Google Gemini 3.1 Flash Lite Preview | $0.250 | $1.50 | 1.05M | 15.6 |
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-2512",
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 3 2512 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 3 2512 does the answering when Jev sends it work, or when you name it yourself. Mistral Large 3 2512 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 3 2512 a System One model?
- No. Mistral Large 3 2512 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 3 2512 cost?
- $0.500 per million input tokens and $1.50 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00275, so a thousand of them is about $2.75. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Mistral Large 3 2512 context window?
- 262,144 tokens, with up to 209,715 tokens in a single reply.
- Does Mistral Large 3 2512 support tool calling and structured output?
- The catalogue lists tool calling and structured output, but it does not list reasoning controls.
- Can I use Mistral Large 3 2512 through llm11?
- Yes. Set model to mistralai/mistral-large-2512 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Mistral Large 3 2512?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Mistral Large 3 2512 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 3 2512?
- Nearest in price and below it: Qwen Qwen3 235B A22B Thinking 2507 at $0.230 in and $2.30 out, Qwen Qwen3.5-122B-A10B at $0.260 in and $2.08 out and OpenAI GPT-5 Mini at $0.250 in and $2.00 out. Nearest in price and below Mistral Large 3 2512, each within a few points of it on the intelligence index.