Free to start

abliterate-0.3-clever vs MoonshotAI: Kimi K2.6

Try both on us. Starter credit covers your first requests, then one key routes abliterate-0.3-clever and Kimi K2.6. 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

MoonshotAI: Kimi K2.6 has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$7.9125/1Mabliterate-0.3-clever cheapest route

$2.532/1MMoonshotAI: Kimi K2.6 cheapest route

14354 msabliterate-0.3-clever fastest measured p50 TTFT via abliterate

949 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via inceptron

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.

abliterate-0.3-cleverMoonshotAI: Kimi K2.6

Model idabliterate/abliterate-0.3-clevermoonshotai/kimi-k2.6

Publisherabliterate Kimi

AI IQ — IQ 114#58

Context0 tokens262,144 tokens

Credits provider routes117

Cheapest route$7.9125/1M$2.532/1M

Cached inputNot published$0.047475/1M to $0.422/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT14354 ms via abliterate949 ms via inceptron

Highest measured throughputnot enough datanot enough data

Recent route uptime range57.14%100.00%

Modes chat chat

abliterate-0.3-clever routes

Overview1 Credits routes

MoonshotAI: Kimi K2.6 routes

Overview17 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Related comparisons

Browse every comparison

MoonshotAI: Kimi K2.6 vs Z.ai: GLM 5.350 combined provider routes
MoonshotAI: Kimi K2.6 vs Z.ai: GLM 5.249 combined provider routes
MoonshotAI: Kimi K2.6 vs Z.ai: GLM 5.3 Flash49 combined provider routes
MoonshotAI: Kimi K2.6 vs MoonshotAI: Kimi K345 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MoonshotAI: Kimi K2.643 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs MoonshotAI: Kimi K2.641 combined provider routes
MoonshotAI: Kimi K2.6 vs OpenAI: gpt-oss-120b41 combined provider routes
MoonshotAI: Kimi K2.6 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="abliterate/abliterate-0.3-clever",
    messages=messages,
)

Questions

Which should I use, abliterate-0.3-clever or MoonshotAI: Kimi K2.6?

MoonshotAI: Kimi K2.6 has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

Is abliterate-0.3-clever or MoonshotAI: Kimi K2.6 cheaper?

The current cheapest TrustedRouter route is $7.9125/1M for abliterate-0.3-clever and $2.532/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.

Is abliterate-0.3-clever or MoonshotAI: Kimi K2.6 faster?

Current measured p50 time to first token is 14354 ms for abliterate-0.3-clever and 949 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test abliterate-0.3-clever 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 abliterate/abliterate-0.3-clever and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.