llmcloud.ai
Model scorecard

Mistral magistral-medium-1.2

Composite 64.8/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

B+64.8/100mistral/magistral-medium-1.2text · 128k context

Capability

eval composite
Quality (blended eval)82

Category: reasoning

Usable context6

128k advertised window

Serving

gateway measured
Throughput34

120 output tokens/s median

Time to first token57

260ms p50

Economics

at provider cost
Price efficiency70

$1.50 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:reasoning.

→ Full workload matrix