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Z.ai: GLM 4.7 Flash

z-ai/glm-4.7-flash

Z.AIopen-weight203K context6 providersIntelligence 69.5· est.

Cheapest provider

$0.06 / 1M

DeepInfra

Fastest provider (p95)

No throughput data yet — populated as traffic accumulates

Intelligence (estimated)

69.5

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
DeepInfrafull· bf16$0.0600$0.400099.97%
Cloudflareundisclosed$0.0605$0.400099.65%
Novitafull· bf16$0.0700$0.400065.77%
Z.AIundisclosed$0.0700$0.4000
Phalaundisclosed$0.1000$0.430094.28%
Veniceq8· fp8$0.1250$0.500098.13%

“—” 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 Z.ai: GLM 4.7 Flash

  • 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 Z.ai: GLM 4.7 Flash that’s currently DeepInfra at $0.06/1M.
  • Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.