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abliterate-0.3-fast vs MoonshotAI: Kimi K2.7 Code

Try both on us. Starter credit covers your first requests, then one key routes abliterate-0.3-fast 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

abliterate-0.3-fast has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K2.7 Code has more Credits provider routes.

$1.5825/1Mabliterate-0.3-fast cheapest route

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

1190 msabliterate-0.3-fast fastest measured p50 TTFT via abliterate

1452 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via lyceum

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-fastMoonshotAI: Kimi K2.7 Code

Model idabliterate/abliterate-0.3-fastmoonshotai/kimi-k2.7-code

Publisherabliterate Kimi

AI IQ — IQ 111#77

Context0 tokens262,144 tokens

Credits provider routes115

Cheapest route$1.5825/1M$4.173791/1M

Cached inputNot published$0.15825/1M to $0.554842/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT1190 ms via abliterate1452 ms via lyceum

Highest measured throughputnot enough data138 tok/s via lyceum

Recent route uptime range100.00%50.00% to 100.00%

Modes chat chat

abliterate-0.3-fast routes

Overview1 Credits routes

MoonshotAI: Kimi K2.7 Code routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

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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="abliterate/abliterate-0.3-fast",
    messages=messages,
)

Questions

Which should I use, abliterate-0.3-fast or MoonshotAI: Kimi K2.7 Code?

abliterate-0.3-fast has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K2.7 Code has more Credits provider routes.

Is abliterate-0.3-fast or MoonshotAI: Kimi K2.7 Code cheaper?

The current cheapest TrustedRouter route is $1.5825/1M for abliterate-0.3-fast and $4.173791/1M for MoonshotAI: Kimi K2.7 Code. The comparison uses current catalog prices and updates as provider pricing changes.

Is abliterate-0.3-fast or MoonshotAI: Kimi K2.7 Code faster?

Current measured p50 time to first token is 1190 ms for abliterate-0.3-fast and 1452 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 abliterate-0.3-fast 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 abliterate/abliterate-0.3-fast and moonshotai/kimi-k2.7-code. This makes side-by-side evals possible without maintaining two provider integrations.