OpenAI compatible API · Attested · Public status

Llama 4 Scout Instruct vs MoonshotAI: Kimi K2.7 Code

Llama 4 Scout Instruct vs MoonshotAI: Kimi K2.7 Code: 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

Llama 4 Scout 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. Current TrustedRouter probes show MoonshotAI: Kimi K2.7 Code with the lower p50 TTFT.

$0.422/1MLlama 4 Scout Instruct cheapest route
$4.29385/1MMoonshotAI: Kimi K2.7 Code cheapest route
1690 msLlama 4 Scout Instruct fastest measured p50 TTFT via cloudflare-workers-ai
1229 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via siliconflow

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.

Llama 4 Scout InstructMoonshotAI: Kimi K2.7 Code
Model idmeta-llama/llama-4-scout-17b-16e-instructmoonshotai/kimi-k2.7-code
AI IQ IQ 108#66
Context131,072 tokens262,144 tokens
Credits provider routes313
Cheapest route$0.422/1M$4.29385/1M
Cached inputNot published$0.15825/1M to $0.56548/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT1690 ms via cloudflare-workers-ai1229 ms via siliconflow
Highest measured throughputnot enough data97 tok/s via fireworks
Recent route uptime range100.00%100.00%
Modes chat chat

Llama 4 Scout Instruct routes

MoonshotAI: Kimi K2.7 Code routes

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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="meta-llama/llama-4-scout-17b-16e-instruct",
    messages=messages,
)

Questions

Which should I use, Llama 4 Scout Instruct or MoonshotAI: Kimi K2.7 Code?

Llama 4 Scout 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. Current TrustedRouter probes show MoonshotAI: Kimi K2.7 Code with the lower p50 TTFT.

Is Llama 4 Scout Instruct or MoonshotAI: Kimi K2.7 Code cheaper?

The current cheapest TrustedRouter route is $0.422/1M for Llama 4 Scout Instruct and $4.29385/1M for MoonshotAI: Kimi K2.7 Code. The comparison uses current catalog prices and updates as provider pricing changes.

Is Llama 4 Scout Instruct or MoonshotAI: Kimi K2.7 Code faster?

Current measured p50 time to first token is 1690 ms for Llama 4 Scout Instruct and 1229 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 Llama 4 Scout Instruct 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 meta-llama/llama-4-scout-17b-16e-instruct and moonshotai/kimi-k2.7-code. This makes side-by-side evals possible without maintaining two provider integrations.

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