Meta: Llama 4 Scout
meta-llama/llama-4-scout
Cheapest provider
$0.08 / 1M
DeepInfra
Fastest provider (p95)
—
No throughput data yet — populated as traffic accumulates
Intelligence (composite)
54.5
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.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| DeepInfra | q8· fp8 | $0.0800 | $0.3000 | — | — | 99.99% | — |
| Groq | undisclosed | $0.1100 | $0.3400 | — | — | 99.91% | — |
| Novita | full· bf16 | $0.1800 | $0.5900 | — | — | 100.00% | — |
| undisclosed | $0.2500 | $0.7000 | — | — | 100.00% | — |
“—” 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
74.3
broad reasoning
Code
32.8
pass@1 (HumanEval / LiveCodeBench)
MATH
50.3
math accuracy
GPQA Diamond
57.2
hard reasoning
Source: Meta Llama 4 model card — Scout instruct (MMLU-Pro 74.3, GPQA-Diamond 57.2, LiveCodeBench 32.8, MATH 50.3); llama.com/models/llama-4
How Atlas routes Meta: Llama 4 Scout
- 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 Meta: Llama 4 Scout that’s currently DeepInfra at $0.08/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.