BenchLeader
Mistral AIOpen weightsAuto-detected

Ministral 3B (latest)

Not yet ranked: too few independent results so far. Released 16 Oct 2024.

Blended price
$0.040/M
$0.040 in · $0.040 out
Output speed
34 tok/s
First answer
0.33 s
Context
128k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Reasoning22
  2. Maths30

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 Diamond25.3%#262Epoch AI Benchmarking Hub

Maths

BenchmarkdefaultSource
MATH Level 514.4%#79Epoch AI Benchmarking Hub

Composite

BenchmarkdefaultSource
Epoch Capabilities Indexnot in index118.1#172Epoch AI Benchmarking Hub

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Mistral (ZDR)35 tok/s0.35 s$0.100$0.100131k
Mistral33 tok/s0.31 s$0.100$0.100131k

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$0.00009.2 s
Summarise a 30-page report12,000 / 600$0.000518.0 s
Code edit6,000 / 1,500$0.000344.4 s
Agentic coding session60,000 / 4,000$0.00262.0 min
Structured extraction2,000 / 200$0.00016.2 s

See also

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