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Meta: Llama 4 Maverick

meta-llama/llama-4-maverick

Metaopen-weight1.0M context5 providersIntelligence 64.3

Cheapest provider

$0.15 / 1M

DeepInfra

Fastest provider (p95)

No throughput data yet — populated as traffic accumulates

Intelligence (composite)

64.3

MMLU-Pro · HumanEval · math · GPQA

Per-provider performance

Latency / throughput / uptime / price measured across providers over the last 30 minutes of live traffic. This is what proves “sourced cheapest” — Atlas mode draws on these per call to serve the cheapest path that holds quality.

ProviderQuantInput $/1MOutput $/1MLatency p50 / p95Throughput p50 / p95Uptime 30mSuccess
DeepInfraq8· fp8$0.1500$0.600099.80%
Novitaq8· fp8$0.2700$0.850099.74%
Googleundisclosed$0.3500$1.150099.88%
Parasailq8· fp8$0.3500$1.000099.89%
SambaNovaundisclosed$0.6300$1.800098.57%

“—” 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

80.5

broad reasoning

Code

43.4

pass@1 (HumanEval / LiveCodeBench)

MATH

61.2

math accuracy

GPQA Diamond

69.8

hard reasoning

Source: Meta Llama 4 model card — Maverick instruct (MMLU-Pro 80.5, GPQA-Diamond 69.8, LiveCodeBench 43.4, MATH 61.2); llama.com/models/llama-4

How Atlas mode sources Meta: Llama 4 Maverick

  • Strict mode — pin Meta: Llama 4 Maverick exactly and we pass it straight through, sourced from the cheapest provider above. The same model, no substitutions — currently DeepInfra at $0.15/1M.
  • Atlas mode — the default. Each call is auto-optimized for the cheapest path that holds quality, at least 5% off going direct from call one and climbing as it ramps. You always see which model served the call and exactly what you saved — thumbs-down anything you don’t like for a full refund.