OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.7 Code vs Qwen3 VL 32b Instruct

MoonshotAI: Kimi K2.7 Code vs Qwen3 VL 32b Instruct: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

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

Monthly evidence

Qwen3 VL 32b Instruct 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. Probe-backed speed data is shown when enough recent samples exist.

$4.29385/1MMoonshotAI: Kimi K2.7 Code cheapest route

$2.743/1MQwen3 VL 32b Instruct cheapest route

1120 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb

not enough dataQwen3 VL 32b Instruct fastest measured p50 TTFT

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

MoonshotAI: Kimi K2.7 CodeQwen3 VL 32b Instruct

Model idmoonshotai/kimi-k2.7-codeqwen/qwen3-vl-32b-instruct

Publisher Kimi Alibaba Cloud Model Studio

AI IQ IQ 118#29 —

Context262,144 tokens262,144 tokens

Provider routes221

Cheapest route$4.29385/1M$2.743/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1120 ms via wandbnot enough data

Highest measured throughput92 tok/s via azurenot enough data

Recent route uptime range100.00%not enough data

Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Overview22 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen3 VL 32b Instruct routes

Overview1 endpoints

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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="moonshotai/kimi-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or Qwen3 VL 32b Instruct?

Is MoonshotAI: Kimi K2.7 Code or Qwen3 VL 32b Instruct cheaper?

The current cheapest TrustedRouter route is $4.29385/1M for MoonshotAI: Kimi K2.7 Code and $2.743/1M for Qwen3 VL 32b Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Qwen3 VL 32b Instruct faster?

Current measured p50 time to first token is 1120 ms for MoonshotAI: Kimi K2.7 Code and not enough data for Qwen3 VL 32b Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and Qwen3 VL 32b Instruct with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k2.7-code and qwen/qwen3-vl-32b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.