BenchLeader
Mistral AIAuto-detected

Mistral Small 3

Best configuration ranks #553 of 610 on the BenchLeader Index at 38.2 ±4.5. Last measured 30 Jan 2025stale: no new result in six months. Released 30 Jan 2025.

Blended price
$0.150/M
$0.100 in · $0.300 out
Output speed
152 tok/s
First answer
0.76 s
first token 0.76 s
Context
32k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index38
  2. Reasoning36
  3. Maths27
  4. Instruction following31
  5. Long context25
  6. 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

Agents & tools

BenchmarkdefaultSource
τ²-Bench Telecom (AA)not in index19.6%#323Artificial Analysis

Maths

BenchmarkdefaultSource
OTIS Mock AIME6.7%#220Epoch AI Benchmarking Hub

Instruction following

BenchmarkdefaultSource
IFBench26.4%#367Artificial Analysis

Long context

BenchmarkdefaultSource
AA-LCR0.0%#419Artificial 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$0.00012.7 s
Summarise a 30-page report12,000 / 600$0.00144.7 s
Code edit6,000 / 1,500$0.001110.6 s
Agentic coding session60,000 / 4,000$0.007227.0 s
Structured extraction2,000 / 200$0.00032.1 s

See also

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