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Mistral

Mistral Small 3.2

Mistral Small 3.2 is a Mistral AI model profile from a lineup that spans compact Ministral models, specialist coding models, reasoning-oriented Magistral releases, and larger frontier open models. The local data makes its multilingual, coding, cost, and latency tradeoffs easier to compare against other providers.

Introducing Mistral 3

Operational Metrics

Output Speed153.8 tok/s
First Token0.38s
Blended Price$0.150/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseJun 20, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: TTFT

Rank #17 across 293 models.

0.38s

Strength: Blended $

Rank #40 across 325 models.

$0.150/M

Strength: Output $

Rank #44 across 325 models.

$0.300/M

Watch Area: HLE

Rank #378 across 474 models.

4.3%

Watch Area: Math

Rank #192 across 269 models.

27.0

Watch Area: GPQA

Rank #338 across 478 models.

50.5%

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall15.1#315
Artificial Analysis Coding Indexcoding13.3#274
Artificial Analysis Math Indexmath27.0#192
MMLU-Proreasoning68.1%#236
GPQA
reasoning
50.5%
#338
Humanity's Last Examreasoning4.3%#378
LiveCodeBenchcoding27.5%#240
SciCodecoding, reasoning26.4%#302
MATH-500math88.3%#82
AIMEmath32.3%#80
Output Speedspeed153.8 tok/s#53
Time to First Tokenspeed0.38s#17
Blended Pricecost$0.150/M#40
Input Pricecost$0.100/M#45
Output Pricecost$0.300/M#44
Value Indexcost, overall100.7#45