GrindBenchThe daily grind, benchmarked.
← Rankings

Mistral Large 4

How Mistral Large 4 did on real work, graded automatically. A grade is the share of its work that was right: no deal-breaker mistakes and at least 80% of the checklist.

A 8 or more in 10 deliverables acceptableB 6 to 8 in 10 acceptableC 4 to 6 in 10 acceptableD 2 to 4 in 10 acceptableF fewer than 2 in 10 acceptable
Report cardGrindBench-PubSec

Overall grade: D

30% of its work was right, with nothing to fix.

Mistral AIFranceClosed weights
Kind of workGradeAcceptable
ATIP redactionF2%
Procurement evaluationD39%
Performance analysisF8%
Bilingual equivalenceA97%
Ranking22nd of 28In group 6 of 9: models in a group are too close to call apart.
Cost per task0.3¢0.98¢ per acceptable result · about 12 s per task

Other measures

Weighted rubric score
75% · 24th best of 28
Grounding errors
14.1 per 1k words · 23rd best of 28 (lower is better)
Ambiguity flagged
44% · 20th best of 28

Comment Strongest at bilingual equivalence (97%). Needs work on ATIP redaction (2%). In group 6 of 9 overall.

How it's marked

Every answer is checked by code and by an independent grader from a lab none of the tested models come from, against a checklist of what a manager would catch. One deal-breaker, like a wrong figure or a missed redaction, and the draft fails.

How we test, in full → · What would it cost for your work?

Next

See the work itself

Real tasks, what each model wrote, and exactly what the grader caught.