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MoonshotAI: Kimi K2.7 Code Performance

Try Kimi K2.7 Code on us. Starter credit covers your first requests, then one key reaches all 14 provider routes with automatic failover.

moonshotai/kimi-k2.7-code

open weights Performance

All models

AI IQ IQ 111 #77 public AI IQ rank for kimi-k2.7-code
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Measured performance

Continuously sampled p50/p95 time-to-first-token (TTFT), effective throughput, and success rate for MoonshotAI: Kimi K2.7 Code. 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
azure 1617 ms 1617 ms 94 tok/s n=1 100.00% — 1
wandb 1678 ms 2882 ms 62 tok/s n=2 100.00% — 3
siliconflow 1786 ms 2939 ms 63 tok/s n=2 100.00% — 3
featherless 2185 ms 2185 ms 75 tok/s n=2 100.00% — 1
cloudflare-workers-ai 2460 ms 2460 ms 72 tok/s n=2 100.00% — 1
kimi 2482 ms 12212 ms 41 tok/s n=2 100.00% — 8
streamlake 2900 ms 2900 ms 44 tok/s n=2 100.00% — 1
alibaba — — 60 tok/s n=2 — — 0
atlas-cloud — — 72 tok/s n=2 — — 0
inceptron — — — — 4 insufficient_quota 0
io-net — — 123 tok/s n=2 — — 0
lyceum — — 167 tok/s n=2 — — 0
novita — — 62 tok/s n=2 — — 0
tencent — — 38 tok/s n=2 — — 0

Full provider & model leaderboard.

Provider diversity

14 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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