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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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16 models · 2.9M structured outputs a day
#ModelBroken
structured outputs
RankBest for
this model
Structured outputs
a day
1GLM 5.2fp80.23%1 of 22—32k
2GLM 5.3 Flash0.54%8 of 29Parasail (fp4) 0.28%1.8M
3DeepSeek V4.1 Flashfp80.72%6 of 28DeepInfra (fp8/flex) 0.35%176k
4Gemma 4 26B A4Bbf160.84%7 of 11Prime Intellect (bf16) 0.23%132k
5Qwen3 235B A22B Instruct 2507fp80.86%1 of 3—78k
6Qwen3.8 27Bfp81.14%6 of 16NEAR AI (fp8) 0.25%5.8k
7DeepSeek V4 Pro 04231.24%2 of 8DeepInfra (fp8) 0.36%5.2k
8Qwen3.5 397B A17B1.34%4 of 7AtlasCloud (fp8) 0.65%9.8k
9DeepSeek V4.1 Flash 1017fp81.45%20 of 33Reka AI 0.40%2.7k
10Nemotron 3.5 Super VLfp41.45%1 of 6—15k
11Gemma 4 31Bfp41.79%11 of 13ModelRun [by Modular] (fp4) 0.21%172k
12DeepSeek V4 Flash 07312.54%12 of 18AtlasCloud (fp4) 0.16%54k
13Kimi K2.6int42.65%4 of 13Parasail (int4) 1.53%4.1k
14MiMo-V2.6-Flashfp83.31%7 of 8GMICloud (bf16) 0.21%1.3k
15DeepSeek V4 Flash 04233.56%10 of 13Alibaba Cloud Int. (fp8) 0.66%334k
16Kimi K2.58.64%3 of 3AtlasCloud (int4) 2.44%17k
New models

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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.

Worst model8.64%

of Kimi K2.5's structured outputs fail on Venice.

Best model0.23%

on GLM 5.2, its best model.

Ignored on3 of 16

models, where the settings tell OpenRouter to skip Venice.

dotjson plugs into your inference stack, so every model you serve gets perfect structured outputs from day 0.

Fix Venice's structured outputs↵