Mistral: Mistral Large 4
mistralai/mistral-large-4-0 · Mistral AINot yet established- Declared family
- Mistral
- Declared tokenizer tag
- Mistral
- Entered catalogue
- 6 October 2026
- Last tested
- 8 October 2026
- Measured signature
- tk_e242e95c
AI Desk · AI FingerprintingNew arrival
Mistral: Mistral Large 4 has a clean measured fingerprint that currently sits alone: no other measured model shares its signature.
Measured on 8 October 2026, two days after it was listed, and measured again the same day pinned to Mistral's own endpoint: both readings agree on all 50 strings. Mistral Large 4 runs a tokenizer no other model on record uses, Mistral's own included. It agrees with Mistral Large 2512 and Mistral Medium 3.5 on 13 of the 50 strings, and its nearest match anywhere is OpenAI's vocabulary at 31. The new vocabulary is cheaper on exactly the text the older one was dear on: a 12-digit number costs 4 tokens where Mistral Large 2512 charges 12, a line of emoji 10 where it charges 20, JSON 20 where it charges 25 and a Chinese sentence 12 where it charges 16, while English prose and Python cost the same.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted cleanly, and no other model in the catalogue counts the same way | tk_e242e95c |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_c182db23 |
| How much it can read and write | Reads up to 1,048,576 tokens at once, writes up to 262,144 | its own listing |
| Whether it thinks before answering | Reasons when asked to, at high, none, high by default | its own listing |
| Who served our requests | Mistral | we measured it, 8 October 2026 |
Click a row to open the full comparison.
We sent Mistral: Mistral Large 4 fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 3 prompt tokens.
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 512K-token context window with up...
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
defaults: {}