OpenAI compatible API. Attested gateway. Public status.
Qwen: Qwen2.5 VL 72B Instruct vs MoonshotAI: Kimi K2.7 Code
Compare Qwen: Qwen2.5 VL 72B Instruct and MoonshotAI: Kimi K2.7 Code by providers, context, price, and TrustedRouter route support.
1 URLbase_url migration
100smodels and routes
0prompt logs by default
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.
Practical read
Qwen: Qwen2.5 VL 72B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen2.5 VL 72B Instruct has more provider fallback routes, while MoonshotAI: Kimi K2.7 Code has the larger context window. Current TrustedRouter probes show Qwen: Qwen2.5 VL 72B Instruct with the lower p50 TTFT.
$0.99/1MQwen: Qwen2.5 VL 72B Instruct cheapest route
$5.445/1MMoonshotAI: Kimi K2.7 Code cheapest route
966 msQwen: Qwen2.5 VL 72B Instruct measured p50 TTFT
1954 msMoonshotAI: Kimi K2.7 Code measured p50 TTFT
Qwen: Qwen2.5 VL 72B InstructMoonshotAI: Kimi K2.7 Code
Model id
qwen/qwen2.5-vl-72b-instructmoonshotai/kimi-k2.7-code
PublisherParasailKimi
Context131,072 tokens262,144 tokens
Provider routes54
Cheapest route$0.99/1M$5.445/1M
Privacy posturehas provider E2EE routeprovider posture varies
Modes
chat
chat
Qwen: Qwen2.5 VL 72B Instruct routes
- Overview5 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
MoonshotAI: Kimi K2.7 Code routes
- Overview4 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
Production choice
Pick a default model. Keep fallback enabled.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
OpenAI clientPython
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="qwen/qwen2.5-vl-72b-instruct",
messages=messages,
)