Mistral Large Latest

MistralKey mistral-large-latest

Rank
#295
by active users
Active users
1
Down 1 from 2 active users in the previous 7 days. vs previous 7 days
Adoption
0.2%
of 610 accounts
Tokens
583K
cache included
Est. cost
<$1
at public list prices
First seen
Mar 3, 2026
in any submission

Nov 6–12, 2026 (UTC)610 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:06 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Mistral Large Latest, Nov 6, 2026 to Nov 12, 2026. Peak 1. Use the left and right arrow keys to read each day.110
Show daily values
Daily active users and tokens for Mistral Large Latest
Date (UTC)Active usersTokens
Nov 6, 20261154K
Nov 7, 202600
Nov 8, 202600
Nov 9, 20261164K
Nov 10, 20261102K
Nov 11, 20261163K
Nov 12, 202600

Token mix

How the 583K tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input33%
  • Output6.0%
  • Cache read61%
  • Cache write0%
  • Reasoning0%

Agents that carry Mistral Large Latest

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Cherry Studio100% of this model's tokens1active users

Benchmarks

The best result for Mistral Large Latest in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks

No benchmark that Tokscale tracks has a result for Mistral Large Latest yet.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Mistral is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.28
Est. per 1M tokens
61% cache reads
At the community mix
$0.07
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.75
Per 1M tokens at list prices
No cache

Cache reads were 61% of Mistral Large Latest tokens in the last 7 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • Mistral list prices per 1M tokens: input $0.50, output $1.50, cache read $0.05.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
  • The community mix is the tokens of every identified model in the last 7 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • MistralReferencemistral-large-latest
    $0.50 input per 1M tokens$1.50 output per 1M tokens$0.05 cache read per 1M tokensCache write not listed262K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
262K tokens
Max output
262K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
Nov 2024
Release date
Nov 1, 2024
Open weights
Yes
Reasoning
No
Tool calling
Yes

Top public profiles

Public profiles that used Mistral Large Latest most in this period, by tokens. Hidden accounts are never listed.

  1. 1Casper@Casper015583Ktokens<$1est. cost4active days<$1 est. cost · 4 active days

Other Mistral models in the same period, by active users.

  1. Mistral Large 40.3% adoption2active users
  2. Mistral Medium 3 50.2% adoption1active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count