of GLM 5.1's structured outputs fail on Baidu Qianfan (fp8).
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 ↓
| # | Provider | Structured outputs a day | $ in / out per M | Tokens/s | Uptime | |
|---|---|---|---|---|---|---|
| 1 | Nebius Token Factoryfp8# | 0.45% | 5.3k | $1.40 / $4.40 | 31 | 98.6% |
| 2 | StreamLakefp8# | 3.16% | 1.7k | $0.97 / $3.04 | 29 | 99.9% |
| 3 | Baidu Qianfanfp8# | 3.23% | 1.2k | $0.90 / $2.82 | 65 | 100.0% |
Also ignored, under 1,000 structured outputs a day: Alibaba Cloud Int. (fp8) 5.95%, Chutes (fp8) 6.78%, AtlasCloud (fp8) 10.00%.
Recommended OpenRouter settings for GLM 5.1
{
"provider": {
"order": [
"nebius/fp8"
],
"ignore": [
"streamlake/fp8",
"baidu/fp8",
"alibaba/fp8",
"chutes/fp8",
"atlas-cloud/fp8"
]
}
}Give llms.txt to your agent
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.
as often on Baidu Qianfan (fp8) as on Nebius Token Factory (fp8), its best provider.
broken structured outputs a day across its 3 providers.
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