OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.7 Code Performance

Compare measured TTFT, throughput, uptime, and route health for MoonshotAI: Kimi K2.7 Code across TrustedRouter providers using metadata-only production probes.

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

moonshotai/kimi-k2.7-code

open weights Performance

All models

AI IQ IQ 108 #66 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
baseten 958 ms 958 ms 356 tok/s n=1 100.00% 7
fireworks 1203 ms 3155 ms 87 tok/s n=1 100.00% 3
inceptron 1505 ms 17441 ms 100.00% 7
wandb 1628 ms 1730 ms 100.00% 2
kimi 2465 ms 4216 ms 100.00% 8
azure 19740 ms 19740 ms 100.00% 1
atlas-cloud 35 tok/s n=2 0
siliconflow 32 tok/s n=1 0

Full provider & model leaderboard.

Provider diversity

13 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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