of Gemma 3 27B's structured outputs fail on Nebius Token Factory (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 | NextBitfp8# | 0.74% | 297k | $0.08 / $0.35 | 23 | 96.9% |
| 2 | Parasailfp8# | 1.01% | 484k | $0.08 / $0.45 | 30 | 99.5% |
| 3 | DeepInfrafp8# | 1.08% | 254k | $0.08 / $0.16 | 22 | 99.6% |
| 4 | Nebius Token Factoryfp8# | 1.62% | 180k | $0.10 / $0.30 | 32 | 93.1% |
{
"provider": {
"order": [
"nextbit/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 Gemma 3 27B's structured outputs fail on Nebius Token Factory (fp8).
as often on Nebius Token Factory (fp8) as on NextBit (fp8), its best provider.
broken structured outputs a day across its 4 providers.
Releasing a model? Make your own API the one every provider is measured against.
Set the bar for your model↵