.TXT Build pipelines?→Serve models?→Release models?↓
Updated October 31, 2026 · How we measure

Structured-output index

The same model breaks your pipeline's structured outputs 15× more often on some inference providers than on others. Find the best one for your pipelines.

Give this to your agent ↓
← All models
Tencent · 3 providers · 31k structured outputs a day
#ProviderStructured outputs
a day
$ in / out
per M
Tokens/sUptime
1AtlasCloudfp8#1.18%11k$0.20 / $0.807499.7%
2Tencent Cloudfp8#1.73%15k$0.08 / $0.3371100.0%
3NovitaAI#6.05%3.9k$0.14 / $0.5866100.0%

Also ignored, under 1,000 structured outputs a day: Phala 9.62%.

Recommended OpenRouter settings for Hy3
{
  "provider": {
    "order": [
      "atlas-cloud/fp8",
      "tencent/fp8"
    ],
    "ignore": [
      "novita",
      "phala"
    ]
  }
}

Give llms.txt to your agent

Using Hy3?

Get updates when its successor drops

And which provider to use.

For model makers

Broken structured outputs carry your model's name

Your users don't see the provider. They see your model failing.

Worst provider6.05%

of Hy3's structured outputs fail on NovitaAI.

Best to worst5×

as often on NovitaAI as on AtlasCloud (fp8), its best provider.

Every day635

broken structured outputs a day across its 3 providers.

Releasing a model? Make your own API the one every provider is measured against.

Set the bar for your model↵