BenchLeader
Mistral AIOpen weightsAuto-detected

Ministral 3 14B

Best configuration ranks #505 of 610 on the BenchLeader Index at 40.5 ±1.6. Released 2 Dec 2025.

Blended price
$0.200/M
$0.200 in · $0.200 out
Output speed
88 tok/s
First answer
0.86 s
first token 0.86 s
Context
262k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index41
  2. Agents & tools38
  3. Knowledge33
  4. Instruction following36
  5. Multimodal34
  6. Long context38
  7. Composite37

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 index57.2%#374Artificial Analysis
Humanity's Last Exam (AA)not in index4.6%#406Artificial Analysis

Coding

BenchmarkdefaultSource
SciCode (AA)not in index23.8%#155Artificial Analysis

Agents & tools

Knowledge

BenchmarkdefaultSource
AA-Omniscience-66.4#426Artificial Analysis

Instruction following

BenchmarkdefaultSource
IFBench32.0%#328Artificial Analysis

Multimodal

BenchmarkdefaultSource
MMMU-Pro49.8%#207Artificial Analysis

Long context

BenchmarkdefaultSource
AA-LCR26.3%#335Artificial Analysis

Composite

BenchmarkdefaultSource
AA Intelligence Index6.0#458Artificial 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$0.00014.3 s
Summarise a 30-page report12,000 / 600$0.00257.7 s
Code edit6,000 / 1,500$0.001517.9 s
Agentic coding session60,000 / 4,000$0.01346.3 s
Structured extraction2,000 / 200$0.00043.1 s

See also

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