of MiniMax M3's structured outputs fail on ModelRun [by Modular] (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 | CoreWeavefp4# | 0.61% | 54k | $0.23 / $0.96 | 70 | 99.3% |
| 2 | Together# | 2.57% | 18k | $0.30 / $1.20 | 129 | 99.9% |
| 3 | ModelRun [by Modular]fp8# | 4.26% | 25k | $0.30 / $1.30 | 74 | 99.4% |
{
"provider": {
"order": [
"coreweave/fp4",
"together"
],
"ignore": [
"modelrun/fp8"
]
}
}Give llms.txt to your agent
And which provider to use.
Your users don't see the provider. They see your model failing.
of MiniMax M3's structured outputs fail on ModelRun [by Modular] (fp8).
as often on ModelRun [by Modular] (fp8) as on CoreWeave (fp4), 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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