llmcloud.ai
Model scorecard

Mistral mistral-small-3.2

Composite 70.9/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

B+70.9/100mistral/mistral-small-3.2text · vision · 128k context

Capability

eval composite
Quality (blended eval)77

Category: cheap

Usable context6

128k advertised window

Serving

gateway measured
Throughput63

220 output tokens/s median

Time to first token82

110ms p50

Economics

at provider cost
Price efficiency88

$0.20 per 1M output tokens

Quality per dollar100
llmcloud adds $0 to these token prices.

Suggested usage

Not a default pick today. It is a reasonable explicit choice when you need this vendor specifically, or as a failover target inside auto:cheap.

→ Full workload matrix