Free to start

WizardLM 2 8x22B vs MoonshotAI: Kimi K2.7 Code

Try both on us. Starter credit covers your first requests, then one key routes WizardLM 2 8x22B and Kimi K2.7 Code. Switch by changing the model name.

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

WizardLM 2 8x22B has the lower published input-plus-output rate. MoonshotAI: Kimi K2.7 Code has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$1.3082/1MWizardLM 2 8x22B cheapest route

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route

not enough dataWizardLM 2 8x22B fastest measured p50 TTFT

1678 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. 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.

WizardLM 2 8x22BMoonshotAI: Kimi K2.7 Code

Model idmicrosoft/wizardlm-2-8x22bmoonshotai/kimi-k2.7-code

PublisherMicrosoft Kimi

AI IQ — IQ 111#77

Context65,535 tokens262,144 tokens

Credits provider routes114

Cheapest route$1.3082/1M$4.173791/1M

Cached inputNot published$0.15825/1M to $0.546617/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1678 ms via wandb

Highest measured throughputnot enough data167 tok/s via lyceum

Recent route uptime range100.00%100.00%

Modes chat chat

WizardLM 2 8x22B routes

Overview1 Credits routes

MoonshotAI: Kimi K2.7 Code routes

Overview14 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Related comparisons

Browse every comparison

MoonshotAI: Kimi K2.7 Code vs Z.ai: GLM 5.347 combined provider routes
MoonshotAI: Kimi K2.7 Code vs Z.ai: GLM 5.246 combined provider routes
MoonshotAI: Kimi K2.7 Code vs Z.ai: GLM 5.3 Flash46 combined provider routes
MoonshotAI: Kimi K2.7 Code vs MoonshotAI: Kimi K342 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MoonshotAI: Kimi K2.7 Code40 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs MoonshotAI: Kimi K2.7 Code38 combined provider routes
MoonshotAI: Kimi K2.7 Code vs OpenAI: gpt-oss-120b38 combined provider routes
MoonshotAI: Kimi K2.7 Code vs Qwen: Qwen3.8 27B36 combined provider routes

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="microsoft/wizardlm-2-8x22b",
    messages=messages,
)

Questions

Which should I use, WizardLM 2 8x22B or MoonshotAI: Kimi K2.7 Code?

Is WizardLM 2 8x22B or MoonshotAI: Kimi K2.7 Code cheaper?

The current cheapest TrustedRouter route is $1.3082/1M for WizardLM 2 8x22B and $4.173791/1M for MoonshotAI: Kimi K2.7 Code. The comparison uses current catalog prices and updates as provider pricing changes.

Is WizardLM 2 8x22B or MoonshotAI: Kimi K2.7 Code faster?

Current measured p50 time to first token is not enough data for WizardLM 2 8x22B and 1678 ms for MoonshotAI: Kimi K2.7 Code. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test WizardLM 2 8x22B and MoonshotAI: Kimi K2.7 Code with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between microsoft/wizardlm-2-8x22b and moonshotai/kimi-k2.7-code. This makes side-by-side evals possible without maintaining two provider integrations.