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Ranks providers by the uptime OpenRouter measured during the latest 30-minute window.
Weights & Biases currently ranks first at 99.96% via wandb/fp16.
| Rank | Provider / route | Uptime (last 30 min) | Speed measurements | Endpoint details |
|---|---|---|---|---|
| #1 | Provider / route Weights & Biases wandb/fp16 | Uptime (last 30 min)99.96% | Speed measurements
| Endpoint details
|
| #2 | Provider / route AkashML akashml/fp8 | Uptime (last 30 min)99.85% | Speed measurements
| Endpoint details
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| #3 | Provider / route Parasail parasail/fp8 | Uptime (last 30 min)99.83% | Speed measurements
| Endpoint details
|
| #4 | Provider / route Groq groq | Uptime (last 30 min)99.51% | Speed measurements
| Endpoint details
|
| #5 | Provider / route Together together/fp8 | Uptime (last 30 min)99.33% | Speed measurements
| Endpoint details
|
| #6 | Provider / route NovitaAI novita/bf16 | Uptime (last 30 min)97.76% | Speed measurements
| Endpoint details
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| #7 | Provider / route DeepInfra deepinfra/turbo | Uptime (last 30 min)97.76% | Speed measurements
| Endpoint details
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| #8 | Provider / route SambaNova sambanova-turbo | Uptime (last 30 min)96.14% | Speed measurements
| Endpoint details
|
| #9 | Provider / route Google Vertex google-vertex/us-central1 | Uptime (last 30 min)94.69% | Speed measurements
| Endpoint details
|
| #10 | Provider / route Cloudflare cloudflare/fp8 | Uptime (last 30 min)89.96% | Speed measurements
| Endpoint details
|
| #11 | Provider / route Nebius nebius/fp8 | Uptime (last 30 min)86.28% | Speed measurements
| Endpoint details
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| — | Provider / route Google Vertex google-vertex | Uptime (last 30 min)Insufficient recent data | Speed measurements
| Endpoint details
|
Endpoint data fetched .
Llama 3.3 70B Instruct endpoint guide
11 of 12 Llama 3.3 70B Instruct endpoints currently have the published data required for this ranking. Weights & Biases leads at 99.96% via wandb/fp16. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.
The reliability ranking uses the published 30-minute endpoint uptime measurement. This short operational window can reveal current instability, but it is not a service-level agreement or a substitute for longer-term availability monitoring.
AkashML currently ranks second at 99.85%. Compare that gap with input and output price, response-start time, output speed, 30-minute uptime, context length, and the exact route before deciding whether first place is meaningful for your workload.
Llama 3.3 70B Instruct has 12 published provider options, and performance data is matched to each exact OpenRouter routing tag. Different quantization, context, regional deployment, or provider configuration can change price and behavior even when the underlying model name is identical.
