llmcloud.ai
Model scorecard

Mistral mistral-large-3

Composite 65.1/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

B+65.1/100mistral/mistral-large-3text · 128k context

Capability

eval composite
Quality (blended eval)86

Category: reasoning

Usable context6

128k advertised window

Serving

gateway measured
Throughput31

110 output tokens/s median

Time to first token53

280ms p50

Economics

at provider cost
Price efficiency64

$3.00 per 1M output tokens

Quality per dollar86
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.

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