of Qwen3 235B A22B Instruct 2507's structured outputs fail on DeepInfra (fp8).
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 | Venicefp8# | 0.86% | 78k | $0.15 / $0.75 | 23 | 98.4% |
| 2 | Parasailfp8# | 0.98% | 271k | $0.14 / $0.80 | 34 | 100.0% |
| 3 | DeepInfrafp8# | 1.00% | 346k | $0.09 / $0.55 | 23 | 95.9% |
{
"provider": {
"order": [
"venice/fp8",
"parasail/fp8",
"deepinfra/fp8"
],
"ignore": []
}
}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 235B A22B Instruct 2507's structured outputs fail on DeepInfra (fp8).
as often on DeepInfra (fp8) as on Venice (fp8), its best provider.
broken structured outputs a day across its 3 providers.
Releasing a model? Make your own API the one every provider is measured against.
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