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MoonshotAI: Kimi K2.6 Performance

Try Kimi K2.6 on us. Starter credit covers your first requests, then one key reaches all 17 provider routes with automatic failover.

moonshotai/kimi-k2.6

open weights Performance

All models

AI IQ IQ 114 #62 public AI IQ rank for kimi-k2.6
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Measured performance

Continuously sampled p50/p95 time-to-first-token (TTFT), effective throughput, and success rate for MoonshotAI: Kimi K2.6. 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
kimi 1764 ms 2728 ms 39 tok/s n=1 100.00% 1 provider_error 12
siliconflow 1059 ms 1356 ms 30 tok/s n=1 100.00% — 2
digitalocean 1146 ms 1146 ms 33 tok/s n=1 100.00% — 1
io-net 1404 ms 1524 ms 72 tok/s n=1 100.00% — 2
sail-research 1577 ms 2118 ms 75 tok/s n=1 100.00% — 7
streamlake 2558 ms 2558 ms 50 tok/s n=1 100.00% — 1
wandb 2898 ms 2898 ms 188 tok/s n=1 100.00% — 1
parasail 3269 ms 3269 ms 98 tok/s n=1 100.00% — 1
cloudflare-workers-ai 4957 ms 4957 ms 49 tok/s n=1 100.00% — 1
chutes 13034 ms 13034 ms 24 tok/s n=1 100.00% — 1
atlas-cloud — — 79 tok/s n=1 — — 0
azure — — 110 tok/s n=1 — — 0
featherless — — 35 tok/s n=1 — — 0
inceptron — — — — 5 insufficient_quota 0
novita — — 32 tok/s n=1 — — 0
telnyx — — 54 tok/s n=1 — — 0

Full provider & model leaderboard.

Provider diversity

17 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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