OpenAI compatible API · Attested · Public status

Llama 4 Scout Instruct vs MoonshotAI: Kimi K2.5

Llama 4 Scout Instruct vs MoonshotAI: Kimi K2.5: 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 K2.5 has more provider fallback routes, while MoonshotAI: Kimi K2.5 has the larger context window. Current TrustedRouter probes show MoonshotAI: Kimi K2.5 with the lower p50 TTFT.

$0.422/1MLlama 4 Scout Instruct cheapest route

$2.79575/1MMoonshotAI: Kimi K2.5 cheapest route

1690 msLlama 4 Scout Instruct fastest measured p50 TTFT via cloudflare-workers-ai

1631 msMoonshotAI: Kimi K2.5 fastest measured p50 TTFT via azure

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 K2.5

Model idmeta-llama/llama-4-scout-17b-16e-instructmoonshotai/kimi-k2.5

Publisher Cerebras Kimi

AI IQ — IQ 111#57

Context131,072 tokens262,144 tokens

Credits provider routes38

Cheapest route$0.422/1M$2.79575/1M

Cached inputNot published$0.07385/1M to $0.422/1M

Privacy postureprovider posture variesprovider posture varies

Fastest measured p50 TTFT1690 ms via cloudflare-workers-ai1631 ms via azure

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Llama 4 Scout Instruct routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

MoonshotAI: Kimi K2.5 routes

Overview8 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

MoonshotAI: Kimi K2.5 vs Z.ai: GLM 5.236 combined provider routes
MoonshotAI: Kimi K2.5 vs Z.ai: GLM 5.335 combined provider routes
MoonshotAI: Kimi K2.5 vs Z.ai: GLM 5.3 Flash34 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MoonshotAI: Kimi K2.532 combined provider routes
MoonshotAI: Kimi K2.5 vs MoonshotAI: Kimi K332 combined provider routes
Llama 4 Scout Instruct vs Z.ai: GLM 5.231 combined provider routes
Llama 4 Scout Instruct vs Z.ai: GLM 5.330 combined provider routes
MoonshotAI: Kimi K2.5 vs OpenAI: gpt-oss-120b30 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="meta-llama/llama-4-scout-17b-16e-instruct",
    messages=messages,
)

Questions

Which should I use, Llama 4 Scout Instruct or MoonshotAI: Kimi K2.5?

Is Llama 4 Scout Instruct or MoonshotAI: Kimi K2.5 cheaper?

The current cheapest TrustedRouter route is $0.422/1M for Llama 4 Scout Instruct and $2.79575/1M for MoonshotAI: Kimi K2.5. The comparison uses current catalog prices and updates as provider pricing changes.

Is Llama 4 Scout Instruct or MoonshotAI: Kimi K2.5 faster?

Current measured p50 time to first token is 1690 ms for Llama 4 Scout Instruct and 1631 ms for MoonshotAI: Kimi K2.5. 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 K2.5 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-k2.5. This makes side-by-side evals possible without maintaining two provider integrations.