of Qwen3 30B A3B Instruct 2507's structured outputs fail on DekaLLM.
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# | 0.65% | 231k | $0.10 / $0.30 | 155 | 99.4% |
| 2 | SiliconFlowfp8# | 1.02% | 193k | $0.09 / $0.30 | 22 | 99.3% |
| 3 | DekaLLM# | 1.23% | 14k | $0.09 / $0.30 | 87 | 99.9% |
Recommended OpenRouter settings for Qwen3 30B A3B Instruct 2507
{
"provider": {
"order": [
"nebius/fp8",
"siliconflow/fp8",
"dekallm"
],
"ignore": []
}
}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 DekaLLM as on Nebius Token Factory (fp8), its best provider.
broken structured outputs a day across its 3 providers.
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