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Qwen: Qwen2.5 VL 72B Instruct

qwen/qwen2.5-vl-72b-instruct

Alibaba (Qwen)open-weight131K context3 providersIntelligence 71.0· est.

Cheapest provider

$0.25 / 1M

Nebius

Fastest provider (p95)

26 tok/s

Parasail

Intelligence (estimated)

71.0

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
Nebiusq8· fp8$0.2500$0.75001272ms / 2874ms14 / 21 tok/s99.73%100.0%
Novitafull· bf16$0.8000$0.80003488ms / 6071ms10 / 23.3 tok/s65.7%
Parasailq8· fp8$0.8000$1.00001429ms / 3337ms14 / 26 tok/s99.92%96.2%

“—” 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 Qwen: Qwen2.5 VL 72B 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 Qwen: Qwen2.5 VL 72B Instruct that’s currently Nebius at $0.25/1M.
  • Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.