@cf/meta/llama-3.2-11b-vision-instruct vs MoonshotAI: Kimi K2.6
Try both on us. Starter credit covers your first requests, then one key routes @cf/meta/llama-3.2-11b-vision-instruct and Kimi K2.6. Switch by changing the model name.
Practical read
Monthly evidence@cf/meta/llama-3.2-11b-vision-instruct has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K2.6 has more Credits provider routes and the larger context window.
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.
meta-llama/llama-3.2-11b-vision-instructmoonshotai/kimi-k2.6
@cf/meta/llama-3.2-11b-vision-instruct routes
MoonshotAI: Kimi K2.6 routes
- Overview17 Credits routes
- PricingInput, cached input, and output rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
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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.
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="meta-llama/llama-3.2-11b-vision-instruct",
messages=messages,
)
Questions
Which should I use, @cf/meta/llama-3.2-11b-vision-instruct or MoonshotAI: Kimi K2.6?
@cf/meta/llama-3.2-11b-vision-instruct has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K2.6 has more Credits provider routes and the larger context window.
Is @cf/meta/llama-3.2-11b-vision-instruct or MoonshotAI: Kimi K2.6 cheaper?
The current cheapest TrustedRouter route is $0.764348/1M for @cf/meta/llama-3.2-11b-vision-instruct and $2.532/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.
Is @cf/meta/llama-3.2-11b-vision-instruct or MoonshotAI: Kimi K2.6 faster?
Current measured p50 time to first token is 1027 ms for @cf/meta/llama-3.2-11b-vision-instruct and 1087 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test @cf/meta/llama-3.2-11b-vision-instruct and MoonshotAI: Kimi K2.6 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-3.2-11b-vision-instruct and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.