Meta: Llama 3.3 70B Instruct Performance
Try Llama 3.3 70B Instruct on us. Starter credit covers your first requests, then one key reaches all 10 provider routes with automatic failover.
meta-llama/llama-3.3-70b-instruct
Measured performance
Continuously sampled p50/p95 time-to-first-token (TTFT), effective throughput, and success rate for Meta: Llama 3.3 70B Instruct. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime, and no prompt or output content is stored.
| Provider | p50 TTFT | p95 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|---|
| sambanova | 1205 ms | 5982 ms | — | 100.00% | — | 14 |
| akashml | 571 ms | 1390 ms | — | 100.00% | — | 2 |
| wandb | 636 ms | 636 ms | — | 100.00% | — | 1 |
| parasail | 1133 ms | 1133 ms | — | 100.00% | — | 1 |
| scaleway | 1332 ms | 1332 ms | — | 100.00% | — | 1 |
| telnyx | 1517 ms | 1517 ms | — | 100.00% | — | 1 |
| databricks | 2616 ms | 2616 ms | — | 100.00% | — | 1 |
| tinfoil | 5679 ms | 5679 ms | — | 100.00% | — | 1 |
Full provider & model leaderboard.
10 routes.
More routes give the auto router more room to fail over around provider 429 and 5xx responses.
Gateway overhead is measured separately.
Public status separates TLS/health overhead from full model latency so slow LLMs do not inflate the router metric.
Metadata rollups.
Status samples store latency, outcome, provider, model, route, cost, and region metadata only.
View public status or inspect provider routes.