BenchLeader
Mistral AIOpen weightsAuto-detected

Ministral 8B (latest)

Best configuration ranks #552 of 610 on the BenchLeader Index at 38.2 ±5.4. Last measured 2 Sept 2026. Released 16 Oct 2024.

Blended price
$0.100/M
$0.100 in · $0.100 out
Output speed
42 tok/s
First answer
0.30 s
Context
128k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index38
  2. Reasoning28
  3. Coding39
  4. Agents & tools25
  5. Maths30
  6. Human preference39

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

Coding

BenchmarkdefaultSource
LMArena Coding1275#268LMArena

Agents & tools

Maths

BenchmarkdefaultSource
MATH Level 514.9%#77Epoch AI Benchmarking Hub

Human preference

BenchmarkdefaultSource
LMArena Text1237#269LMArena

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)45 tok/s0.31 s$0.150$0.150262k
Mistral39 tok/s0.29 s$0.150$0.150262k

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$0.00017.4 s
Summarise a 30-page report12,000 / 600$0.001314.6 s
Code edit6,000 / 1,500$0.000836.0 s
Agentic coding session60,000 / 4,000$0.00641.6 min
Structured extraction2,000 / 200$0.00025.1 s

See also

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