Mistral AI

Mistral Large 2402

Type
language model
Context
32K tokens
Max output
32K
API string
azure/mistral-large-2402

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Mistral AI $4 $12 31 Jul 2026
Amazon Bedrock bedrock/us-east-1/mistral.mistral-large-2402-v1:0 $8 $24 2 Aug 2026
Microsoft Foundry $8 $24 31 Jul 2026
Amazon Bedrock bedrock/eu-west-3/mistral.mistral-large-2402-v1:0 $10.4 $31.2 2 Aug 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score in French 1,208.47 1,185–1,232
Arena Score in English 1,200.04 1,194–1,206
Arena Score, mathematics 1,199.86 1,191–1,209
Arena Score in Spanish 1,193.92 1,169–1,219
Arena Score, programming 1,183.42 1,175–1,192
Arena Score in Russian 1,178.57 1,168–1,189
Arena Score, overall 1,176.64 1,172–1,181
Arena Score, long queries 1,173.39 1,163–1,183
Arena Score, multi-turn dialogue 1,172.05 1,163–1,181
Arena Score, instruction following 1,169.67 1,163–1,176
Arena Score, hard prompts 1,167.4 1,160–1,174
Arena Score, creative writing 1,161.48 1,152–1,171
Arena Score, expert questions 1,122.65 1,109–1,136
MATH, difficulty level five 24.46 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 18.35 % · with a tuned harness Epoch evaluations
Mock AIME 2024–2025 — olympiad problems 1.85 % · with a tuned harness Epoch evaluations