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Mistral: Mistral Small 3.2 24B

mistralai/mistral-small-3.2-24b-instruct

Mistralopen-weight128K context4 providersIntelligence 64.6

Cheapest provider

$0.07 / 1M

DeepInfra

Fastest provider (p95)

No throughput data yet — populated as traffic accumulates

Intelligence (composite)

64.6

MMLU-Pro · HumanEval · math · GPQA

Per-provider performance

Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.

ProviderQuantInput $/1MOutput $/1MLatency p50 / p95Throughput p50 / p95Uptime 30mSuccess
DeepInfraq8· fp8$0.0750$0.200098.88%
Parasailfull· bf16$0.0900$0.600099.98%
Veniceq8· fp8$0.0938$0.250099.92%
Mistralundisclosed$0.1000$0.300099.91%

“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).

Intelligence breakdown

Composite score is a weighted average of public benchmarks (30% MMLU-Pro, 25% code pass@1, 25% math, 20% GPQA). Numbers come from model cards and the Artificial Analysis intelligence harness; missing components are renormalised over what’s present.

MMLU-Pro

64.2

broad reasoning

Code

80.3

pass@1 (HumanEval / LiveCodeBench)

MATH

68.2

math accuracy

GPQA Diamond

41.2

hard reasoning

Source: Mistral Small 3.2 model card (2025)

How Atlas routes Mistral: Mistral Small 3.2 24B

  • Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
  • Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For Mistral: Mistral Small 3.2 24B that’s currently DeepInfra at $0.07/1M.
  • Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.