OpenAI compatible API · Attested · Public status

Meta: Llama 3.3 70B Instruct Performance

Compare measured TTFT, throughput, uptime, and route health for Meta: Llama 3.3 70B Instruct across TrustedRouter providers using metadata-only production probes.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.

meta-llama/llama-3.3-70b-instruct

open weights Performance

All models

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.

Providerp50 TTFTp95 TTFTEffective throughputUptimeConfig excludedAvailability samples
together 797 ms 3910 ms 100.00% 2
sambanova 810 ms 1061 ms 100.00% 2
databricks 1046 ms 1051 ms 100.00% 2
parasail 1123 ms 3856 ms 100.00% 2
tinfoil 1397 ms 27709 ms 100.00% 8
regolo 1512 ms 3320 ms 100.00% 3
scaleway 1525 ms 3053 ms 100.00% 8
wandb 2767 ms 2767 ms 100.00% 1
io-net 3224 ms 3224 ms 100.00% 1
akashml 3381 ms 3381 ms 100.00% 1

Full provider & model leaderboard.

Provider diversity

12 routes.

More routes give the auto router more room to fail over around provider 429 and 5xx responses.

Streaming

Gateway overhead is measured separately.

Public status separates TLS/health overhead from full model latency so slow LLMs do not inflate the router metric.

Status

Metadata rollups.

Status samples store latency, outcome, provider, model, route, cost, and region metadata only.

Workspace access

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