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Meta: Llama 3 8B Instruct

meta-llama/llama-3-8b-instruct

Metaopen-weight8K context3 providersIntelligence 54.0· est.

Cheapest provider

$0.04 / 1M

Novita

Fastest provider (p95)

164 tok/s

Together

Intelligence (estimated)

54.0

Family + generation + popularity + price tier

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
Novitafull· bf16$0.0400$0.0400455ms / 960ms49 / 87 tok/s100.00%85.5%
Togetherq4· int4$0.1000$0.1000507ms / 1715ms54 / 164.4 tok/s100.00%100.0%
Cloudflareundisclosed$0.2820$0.8270439ms / 809ms14 / 16.8 tok/s100.0%

“—” 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 estimate

No public benchmark numbers indexed for this model yet, so the leaderboard score is derived from the catalogue data we sync: model family standing, generation, and live usage rank — applied identically to open- and closed-weight models. The heuristic ceiling sits below confirmed-benchmark frontier models so curated rankings stay clearly on top.

Want a curated score? File a benchmark report and we’ll add it to the next sync.

How Atlas routes Meta: Llama 3 8B Instruct

  • 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 3 8B Instruct that’s currently Novita at $0.04/1M.
  • Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.