of GLM 5.3 Flash's structured outputs fail on Mistral.
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.
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| # | Provider | Structured outputs a day | $ in / out per M | Tokens/s | Uptime | |
|---|---|---|---|---|---|---|
| 1 | Parasailfp4# | 0.28% | 591k | $0.15 / $0.50 | 44 | 99.8% |
| 2 | NextBitfp4# | 0.30% | 401k | $0.15 / $0.50 | 47 | 99.8% |
| 3 | Fireworks# | 0.40% | 2.0M | $0.15 / $0.50 | 120 | 99.4% |
| 4 | DeepInfrafp4# | 0.47% | 618k | $0.15 / $0.50 | 94 | 100.0% |
| 5 | Basetenfp8# | 0.50% | 9.6M | $0.15 / $0.50 | 177 | 99.0% |
| 6 | Together# | 0.51% | 26.6M | $0.15 / $0.50 | 181 | 98.8% |
| 7 | Sail Researchfp4# | 0.51% | 456k | $0.23 / $0.75 | 42 | 99.8% |
| 8 | Venice# | 0.54% | 1.8M | $0.15 / $0.50 | 138 | 99.7% |
| 9 | Friendli# | 0.69% | 2.8M | $0.15 / $0.50 | 166 | 99.9% |
| 10 | DigitalOcean# | 0.74% | 248k | $0.11 / $0.38 | 129 | 100.0% |
| 11 | Wafernvfp4# | 0.79% | 1.5M | $0.04 / $0.20 | 146 | 99.2% |
| 12 | Prime Intellect# | 0.95% | 1.3M | $0.15 / $0.50 | 91 | 100.0% |
| 13 | Nebius Token Factoryfp4# | 0.98% | 13k | $0.15 / $0.50 | 115 | 87.5% |
| 14 | CoreWeavenvfp4# | 1.05% | 1.1M | $0.12 / $0.38 | 142 | 99.4% |
| 15 | Makora# | 1.15% | 140k | $0.14 / $0.47 | 180 | 99.9% |
| 16 | Modalfp4# | 1.15% | 200k | $0.15 / $0.50 | 112 | 100.0% |
| 17 | Inceptronfp8# | 1.20% | 161k | $0.19 / $0.60 | 112 | 100.0% |
| 18 | Phalanvfp4# | 1.38% | 31k | $0.11 / $0.38 | 48 | 99.6% |
| 19 | NEAR AIfp8# | 1.43% | 587k | $0.08 / $0.50 | 62 | 99.9% |
| 20 | inference.netfp4# | 1.48% | 1.3M | $0.11 / $0.35 | 124 | 100.0% |
| 21 | Reka AI# | 1.56% | 3.8M | $0.12 / $0.30 | 121 | 100.0% |
| 22 | Morphfp8# | 1.68% | 92k | $0.04 / $0.30 | 60 | 99.9% |
| 23 | Particle AInvfp4# | 1.83% | 37k | $0.15 / $0.50 | 143 | 99.9% |
| 24 | Cohere# | 2.21% | 549k | $0.15 / $0.50 | 146 | 100.0% |
| 25 | Open Inferencefp4# | 2.31% | 1.6M | $0.02 / $0.03 | 121 | 99.9% |
| 26 | Crusoefp4# | 2.49% | 126k | $0.15 / $0.50 | 130 | 100.0% |
| 27 | StreamLakefp8# | 3.78% | 932k | $0.09 / $0.29 | 46 | 99.1% |
| 28 | Darkbloomfp4# | 5.04% | 5.1k | $0.07 / $0.18 | 31 | 94.7% |
| 29 | Mistral# | 6.83% | 90k | $0.15 / $0.50 | 72 | 98.9% |
Recommended OpenRouter settings for GLM 5.3 Flash
{
"provider": {
"order": [
"parasail/fp4",
"nextbit/fp4",
"fireworks"
],
"ignore": [
"streamlake/fp8",
"darkbloom/fp4",
"mistral"
]
}
}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 Mistral as on Parasail (fp4), its best provider.
broken structured outputs a day across its 29 providers.
Releasing a model? Make your own API the one every provider is measured against.
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