of Qwen3.5 397B A17B's structured outputs fail on DigitalOcean.
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.
| # | Provider | Structured outputs a day | $ in / out per M | Tokens/s | Uptime | |
|---|---|---|---|---|---|---|
| 1 | AtlasCloudfp8# | 0.65% | 12k | $0.55 / $3.50 | 43 | 95.8% |
| 2 | Phala# | 0.83% | 5.3k | $0.55 / $3.50 | 48 | 98.0% |
| 3 | DeepInfrafp8# | 0.89% | 25k | $0.45 / $3.00 | 26 | 99.5% |
| 4 | Venice# | 1.34% | 9.8k | $0.75 / $4.50 | 45 | 96.8% |
| 5 | Parasailfp8# | 1.37% | 21k | $0.50 / $3.60 | 55 | 99.8% |
| 6 | StreamLake# | 1.64% | 11k | $0.60 / $3.60 | 132 | 97.4% |
| 7 | DigitalOcean# | 4.19% | 7.9k | $0.55 / $3.50 | 13 | 88.1% |
{
"provider": {
"order": [
"atlas-cloud/fp8",
"phala",
"deepinfra/fp8"
],
"ignore": [
"digitalocean"
]
}
}Give llms.txt to your agent
And which provider to use.
Your users don't see the provider. They see your model failing.
of Qwen3.5 397B A17B's structured outputs fail on DigitalOcean.
as often on DigitalOcean as on AtlasCloud (fp8), its best provider.
broken structured outputs a day across its 7 providers.
Releasing a model? Make your own API the one every provider is measured against.
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