BenchLeader
Mistral AIOpen weightsAuto-detected

Ministral 3 3B

Best configuration ranks #559 of 610 on the BenchLeader Index at 37.6 ±3.6. Released 2 Dec 2025.

Blended price
$0.100/M
$0.100 in · $0.100 out
Output speed
184 tok/s
First answer
0.66 s
first token 0.66 s
Context
131k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index38
  2. Agents & tools34
  3. Knowledge34
  4. Instruction following31
  5. Multimodal22
  6. Long context34
  7. Composite35

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

BenchmarkdefaultSource
GPQA Diamond (AA)not in index35.8%#463Artificial Analysis
Humanity's Last Exam (AA)not in index5.4%#354Artificial Analysis

Coding

BenchmarkdefaultSource
SciCode (AA)not in index15.3%#161Artificial Analysis

Agents & tools

Knowledge

BenchmarkdefaultSource
AA-Omniscience-64#414Artificial Analysis

Instruction following

BenchmarkdefaultSource
IFBench26.8%#364Artificial Analysis

Multimodal

BenchmarkdefaultSource
MMMU-Pro38.1%#232Artificial Analysis

Long context

BenchmarkdefaultSource
AA-LCR17.0%#373Artificial Analysis

Composite

BenchmarkdefaultSource
AA Intelligence Index4.8#526Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.00012.3 s
Summarise a 30-page report12,000 / 600$0.00133.9 s
Code edit6,000 / 1,500$0.00088.8 s
Agentic coding session60,000 / 4,000$0.006422.4 s
Structured extraction2,000 / 200$0.00021.7 s

See also

Data as of 9 Sept 2026. Compare with another model.