Mistral Large 4

MistralKey mistral-large-4Also reported as mistral/mistral-large-4, mm0e-com/commandcode/mistral/mistral-large-4

Rank
#149
by active users
Active users
2
NewNew: no active users in the previous 7 days, 2 now. vs previous 7 days
Adoption
0.3%
of 598 accounts
Tokens
5K
cache included
Est. cost
<$1
at public list prices
First seen
Oct 7, 2026
in any submission

Nov 7–13, 2026 (UTC)598 accounts100% of tokens from an identified modelData through Nov 13, 2026, 01:19 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 13, 2026

Daily active users for Mistral Large 4, Nov 7, 2026 to Nov 13, 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 4
Date (UTC)Active usersTokens
Nov 7, 202600
Nov 8, 202600
Nov 9, 202614.9K
Nov 10, 202600
Nov 11, 2026172
Nov 12, 202600
Nov 13, 202600

Token mix

How the 5K tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input43%
  • Output12%
  • Cache read0%
  • Cache write0%
  • Reasoning44%

Agents that carry Mistral Large 4

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

  1. Pi99% of this model's tokens1active users
  2. Senpi (OmO Native)1.5% of this model's tokens1active users

Benchmarks

The best result for Mistral Large 4 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
  • Epoch Capabilities IndexOverall · Epoch AI
    154.6
    Rank #48 of 158 matched modelsNo conditions reportedModel released Oct 29, 2026Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,543
    Rank #40 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    −0.04
    Rank #38 of 48 matched modelsArena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    90.2%
    Rank #45 of 160 matched modelsHighRun date Nov 2, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    22.4%
    Rank #73 of 86 matched modelsHighRun date Nov 2, 2026Source: epoch.ai (opens in a new tab)

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
$1.49
Est. per 1M tokens
0% cache reads
At the community mix
$0.10
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$1.05
Per 1M tokens at list prices
No cache

Cache reads were 0% of Mistral Large 4 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 $0.70, output $2.10, cache read $0.07.
  • 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-4
    $0.70 input per 1M tokens$2.10 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutermistralai/mistral-large-4-0
    $0.70 input per 1M tokens$2.10 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vercel AI Gatewaymistral/mistral-large-4
    $0.70 input per 1M tokens$2.10 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed1.05M 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
1.05M tokens
Max output
262K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
— not listed
Release date
Oct 6, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Mistral Large 4 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Casper@Casper0154.9Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  2. 2jc01rho@jc01rho72tokens<$1est. cost1active days<$1 est. cost · 1 active days

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

  1. Mistral Large Latest0.2% adoption1active 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.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • 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