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Mistral · Proprietary · tested 11 Oct 2026

Mistral Large 4.0 High effort

Overall rank#8 of 25
Solves52/10049 first attempt · +3 retry
Rungs proven266/400253 first attempt · +13 retry
Cost to run$68.36$1.31 per solve
Tokens used412.2M88.9% from cache · 8.2M output
Time per lab18.8 minaverage of 140 attempts

Where it places

Each line is one metric across all 25 configurations. Right is always better; this model is the large dot.

Solveslabs solved, of 100
worsebetter
52#8 of 25
Rungs provenrungs proven, of 400
worsebetter
266#8 of 25
First-attempt solvessolved on the first attempt
worsebetter
49#7 of 25
Cost per solveUSD per solved lab
worsebetter
$1.31#7 of 15

By vulnerability class

How Mistral Large 4.0 (High) did on each type of vulnerability. Shown as counts, because some classes have only a few labs.

  • Authentication / authorisation bypass16 of 28 solved82 of 112 rungs
  • Information disclosure8 of 12 solved33 of 48 rungs
  • IDOR3 of 11 solved27 of 44 rungs
  • SSRF0 of 10 solved8 of 40 rungs
  • Business logic6 of 10 solved32 of 40 rungs
  • Key or secret exposure8 of 8 solved32 of 32 rungs
  • XSS4 of 6 solved17 of 24 rungs
  • Token theft5 of 5 solved20 of 20 rungs

Fewer than 5 labs each: one lab changes these a lot, so read them with care.

  • Supply chain1 of 4 solved8 of 16 rungs
  • Remote code execution0 of 3 solved1 of 12 rungs
  • SQL injection1 of 2 solved5 of 8 rungs
  • File inclusion0 of 1 solved1 of 4 rungs

Provider performance

Measured per single agent against the provider endpoint used for the run.

Response time
10.27 s median · 41.76 s p95
Output speed
68.5 tok/s
API success rate
99.31%
Input context
35.0K median · 141.7K p95

About this result

Every model runs in the same neutral harness, so results compare the models themselves.

Harness
BB Arena neutral harness
Safety refusals
None

See Mistral Large 4.0 (High) highlighted on every chart →