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MoonshotAI: Kimi K3 Performance

Try Kimi K3 on us. Starter credit covers your first requests, then one key reaches all 28 provider routes with automatic failover.

moonshotai/kimi-k3

open weights Performance

All models

AI IQ IQ 127 #21 public AI IQ rank for kimi-k3
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Measured performance

Continuously sampled p50/p95 time-to-first-token (TTFT), effective throughput, and success rate for MoonshotAI: Kimi K3. 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
relace 1938 ms 3324 ms 63 tok/s n=1 100.00% — 12
akashml 2809 ms 6384 ms 89 tok/s n=2 100.00% — 339
phala 5729 ms 44586 ms 12 tok/s n=1 84.62% — 13
together 21562 ms 22791 ms — 100.00% — 67
deepinfra 789 ms 789 ms 37 tok/s n=1 100.00% — 1
lyceum 980 ms 1682 ms 97 tok/s n=1 100.00% — 3
fireworks 1035 ms 1035 ms 73 tok/s n=1 100.00% — 1
featherless 1191 ms 1191 ms 116 tok/s n=1 100.00% — 1
tinfoil 1694 ms 1694 ms 37 tok/s n=1 100.00% — 1
baseten 1717 ms 2786 ms 56 tok/s n=1 100.00% — 3
boundless 1871 ms 3524 ms 103 tok/s n=1 100.00% — 3
sail-research 1887 ms 4182 ms 197 tok/s n=1 100.00% — 2
makora 2100 ms 2898 ms 65 tok/s n=2 100.00% — 5
siliconflow 2118 ms 2118 ms 38 tok/s n=1 100.00% — 1
telnyx 2150 ms 2150 ms 72 tok/s n=1 100.00% — 1
venice 2153 ms 3033 ms 110 tok/s n=1 100.00% — 2
wafer 2653 ms 2653 ms — 100.00% — 1
gmi 3016 ms 7120 ms 106 tok/s n=1 100.00% — 7
kimi 3462 ms 5910 ms 43 tok/s n=2 100.00% — 9
cloudflare-workers-ai 3607 ms 6460 ms 24 tok/s n=1 100.00% — 2
tencent 4140 ms 4140 ms 39 tok/s n=1 100.00% — 1
novita 4361 ms 4361 ms 23 tok/s n=1 100.00% — 1
atlas-cloud 4681 ms 4681 ms 41 tok/s n=1 100.00% — 1
arcee 5322 ms 5649 ms 32 tok/s n=1 100.00% — 3
chutes — — 21 tok/s n=1 — — 0
engy — — — — 9 provider_error 0
io-net — — 120 tok/s n=1 — — 0
nebius — — 127 tok/s n=2 — — 0

Full provider & model leaderboard.

Provider diversity

28 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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