OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 Exp vs MoonshotAI: Kimi K2.7 Code

Compare DeepSeek: DeepSeek V3.2 Exp and MoonshotAI: Kimi K2.7 Code by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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

DeepSeek: DeepSeek V3.2 Exp has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K2.7 Code has more provider fallback routes, while MoonshotAI: Kimi K2.7 Code has the larger context window. Current TrustedRouter probes show MoonshotAI: Kimi K2.7 Code with the lower p50 TTFT.

$0.714/1MDeepSeek: DeepSeek V3.2 Exp cheapest route

$4.431/1MMoonshotAI: Kimi K2.7 Code cheapest route

2263 msDeepSeek: DeepSeek V3.2 Exp measured p50 TTFT

567 msMoonshotAI: Kimi K2.7 Code measured p50 TTFT

DeepSeek: DeepSeek V3.2 ExpMoonshotAI: Kimi K2.7 Code

Model iddeepseek/deepseek-v3.2-expmoonshotai/kimi-k2.7-code

PublisherDeepSeekKimi

AI IQ — IQ 118#22

Context163,840 tokens262,144 tokens

Provider routes519

Cheapest route$0.714/1M$4.431/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

DeepSeek: DeepSeek V3.2 Exp routes

Overview5 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

MoonshotAI: Kimi K2.7 Code routes

Overview19 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="deepseek/deepseek-v3.2-exp",
    messages=messages,
)