of GLM 5's structured outputs fail on StreamLake (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.
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| # | Model | Broken structured outputs | Rank | Best for this model | Structured outputs a day |
|---|---|---|---|---|---|
| 1 | DeepSeek V4 Flash 0423fp8 | 1.12% | 3 of 13 | Alibaba Cloud Int. (fp8) 0.66% | 1.3M |
| 2 | Qwen3.5 397B A17B | 1.64% | 6 of 7 | AtlasCloud (fp8) 0.65% | 11k |
| 3 | DeepSeek V4 Pro 0423fp8 | 2.32% | 4 of 8 | DeepInfra (fp8) 0.36% | 106k |
| 4 | GLM 5.2fp8 | 2.38% | 14 of 22 | Venice (fp8) 0.23% | 59k |
| 5 | Kimi K2.6fp8 | 2.76% | 6 of 13 | Parasail (int4) 1.53% | 3.6k |
| 6 | GLM 5.1fp8 | 3.16% | 2 of 3 | Nebius Token Factory (fp8) 0.45% | 1.7k |
| 7 | DeepSeek V4.1 Flash 1017fp8 | 3.36% | 29 of 33 | Reka AI 0.40% | 19k |
| 8 | GLM 5.3 Flashfp8 | 3.78% | 27 of 29 | Parasail (fp4) 0.28% | 932k |
| 9 | GLM 5fp8 | 5.52% | 2 of 3 | Baidu Qianfan (fp8) 3.34% | 1.7k |
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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 DeepSeek V4 Flash 0423, its best model.
models, where the settings tell OpenRouter to skip StreamLake.
dotjson plugs into your inference stack, so every model you serve gets perfect structured outputs from day 0.
Fix StreamLake's structured outputs↵