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
io-net 1281 ms 1281 ms 100.00% 1
akashml 1282 ms 1756 ms 100.00% 2
telnyx 1358 ms 2992 ms 100.00% 6
scaleway 1359 ms 1716 ms 100.00% 3
together 1423 ms 1925 ms 100.00% 3
databricks 1473 ms 2464 ms 100.00% 4
tinfoil 1609 ms 3044 ms 100.00% 2

Full provider & model leaderboard.

Provider diversity

11 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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