of GLM 5.3's structured outputs fail on Makora (fp4).
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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| # | Model | Broken structured outputs | Rank | Best for this model | Structured outputs a day |
|---|---|---|---|---|---|
| 1 | Gemma 4 26B A4B | 0.46% | 5 of 11 | Prime Intellect (bf16) 0.23% | 1.1M |
| 2 | MiMo-V2.6-Flashfp8 | 0.81% | 2 of 8 | GMICloud (bf16) 0.21% | 182k |
| 3 | DeepSeek V4.1 Flash 1017fp8 | 0.81% | 5 of 33 | Reka AI 0.40% | 37k |
| 4 | Kimi K3fp4 | 0.91% | 6 of 20 | Parasail (fp4) 0.20% | 10k |
| 5 | GLM 5.3 Flash | 1.15% | 15 of 29 | Parasail (fp4) 0.28% | 140k |
| 6 | Muse Spark Openfp4 | 1.61% | 3 of 4 | Together 0.68% | 2.0k |
| 7 | DeepSeek V4.1 Flashfp8 | 2.17% | 18 of 28 | DeepInfra (fp8/flex) 0.35% | 43k |
| 8 | GLM 5.3fp4 | 2.74% | 13 of 28 | Together 0.25% | 7.4k |
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And which provider to use.
For inference providers
Structured outputs don't have to break
The same provider can handle structured outputs well on one model and struggle on the next. Implementations diverge on strings, optionals, composition and conditionals (the April announcement): the schema one provider enforces, another ignores.
on Gemma 4 26B A4B, its best model.
models, where Makora is the most reliable provider.
dotjson plugs into your inference stack, so every model you serve gets perfect structured outputs from day 0.
Fix Makora's structured outputs↵