of DeepSeek V4 Flash 0423's structured outputs fail on AtlasCloud (fp4).
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.
| # | Provider | Structured outputs a day | $ in / out per M | Tokens/s | Uptime | |
|---|---|---|---|---|---|---|
| 1 | Alibaba Cloud Int.fp8# | 0.66% | 104k | $0.15 / $0.30 | — | 82.8% |
| 2 | DeepInfrafp8# | 0.96% | 1.7M | $0.09 / $0.18 | 45 | 100.0% |
| 3 | StreamLakefp8# | 1.12% | 1.3M | $0.04 / $0.08 | 39 | 100.0% |
| 4 | Wafermxfp4# | 1.37% | 401k | $0.60 / $0.17 | 90 | 100.0% |
| 5 | Fireworks# | 1.68% | 39k | $0.10 / $0.21 | 48 | 76.2% |
| 6 | Parasailfp8# | 1.78% | 1.1M | $0.14 / $0.28 | 63 | 99.8% |
| 7 | Crusoefp8# | 1.96% | 128k | $0.14 / $0.28 | 78 | 100.0% |
| 8 | Baidu Qianfanfp8# | 2.03% | 2.7M | $0.04 / $0.08 | 77 | 96.7% |
| 9 | Cloudflare# | 3.39% | 256k | $0.44 / $1.32 | 68 | 99.9% |
| 10 | Venice# | 3.56% | 334k | $0.10 / $0.19 | 34 | 99.9% |
| 11 | Mancerfp8# | 3.93% | 10k | $0.19 / $0.50 | 42 | 98.4% |
| 12 | DigitalOcean# | 5.93% | 350k | $0.10 / $0.20 | 39 | 99.9% |
| 13 | AtlasCloudfp4# | 29.73% | 277k | $0.14 / $0.28 | 43 | 99.6% |
{
"provider": {
"order": [
"alibaba/fp8/us-east-1",
"deepinfra/fp8",
"streamlake/fp8"
],
"ignore": [
"cloudflare",
"venice",
"mancer/fp8",
"digitalocean",
"atlas-cloud/fp4"
]
}
}Give llms.txt to your agent
And which provider to use.
Your users don't see the provider. They see your model failing.
of DeepSeek V4 Flash 0423's structured outputs fail on AtlasCloud (fp4).
as often on AtlasCloud (fp4) as on Alibaba Cloud Int. (fp8), its best provider.
broken structured outputs a day across its 13 providers.
Releasing a model? Make your own API the one every provider is measured against.
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