Mistral Medium 3.1 with Jev
Mistral Medium 3.1 is a model from Mistral, released 2025-08-13. It costs $0.400 per million input tokens and $2.00 per million output tokens, reads up to 131K tokens of context, and writes up to 104,857 tokens in one reply. Through llm11, set model to mistralai/mistral-medium-3.1.
- Input price
- $0.400 / 1M
- Output price
- $2.00 / 1M
- Context window
- 131K tokens
- Max output
- 105K tokens
- Cached input
- $0.040 / 1M
- Released
- 2025-08-13
- Accepts
- text, image, file
- Intelligence index
- 9.2
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 47% of the 332 priced models we can call cost more.
Using Mistral Medium 3.1 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 Medium 3.1 does the answering when Jev sends it work, or when you name it yourself. Mistral Medium 3.1 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 Medium 3.1 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 | $0.00060 | $0.600 |
| Question over retrieved documents | 4,000 / 500 | $0.00260 | $2.60 |
| Long document summary | 30,000 / 1,000 | $0.014 | $14.00 |
Cheaper models to try
Nearest in price and below Mistral Medium 3.1, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Mistral Mistral Large 3 2512 | $0.500 | $1.50 | 262K | 9.3 | |
| Qwen Qwen3 30B A3B Thinking 2507Retires 2026-10-09 | $0.200 | $2.40 | 82K | 9.8 | |
| 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 |
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-medium-3.1",
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 Medium 3.1 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 Medium 3.1 does the answering when Jev sends it work, or when you name it yourself. Mistral Medium 3.1 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 Medium 3.1 a System One model?
- No. Mistral Medium 3.1 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 Medium 3.1 cost?
- $0.400 per million input tokens and $2.00 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00260, so a thousand of them is about $2.60. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Mistral Medium 3.1 context window?
- 131,072 tokens, with up to 104,857 tokens in a single reply.
- Does Mistral Medium 3.1 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 Medium 3.1 through llm11?
- Yes. Set model to mistralai/mistral-medium-3.1 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Mistral Medium 3.1?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Mistral Medium 3.1 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 Medium 3.1?
- Nearest in price and below it: Mistral Mistral Large 3 2512 at $0.500 in and $1.50 out, Qwen Qwen3 30B A3B Thinking 2507 at $0.200 in and $2.40 out and Qwen Qwen3 235B A22B Thinking 2507 at $0.230 in and $2.30 out. Nearest in price and below Mistral Medium 3.1, each within a few points of it on the intelligence index.