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MoonshotAI: Kimi K2.7 Code vs Qwen/Qwen3-235B-A22B-Instruct-2507-FP8

One key routes both. Starter credit covers your first Kimi K2.7 Code requests, while Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 runs on your own provider key. 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 K2.7 Code has more Credits provider routes. A published Credits price comparison is not available for both models. Their context windows are the same size. There is not enough recent probe data to compare speed.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route
$1.84625/1MQwen/Qwen3-235B-A22B-Instruct-2507-FP8 cheapest route
1583 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb
not enough dataQwen/Qwen3-235B-A22B-Instruct-2507-FP8 fastest measured p50 TTFT

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.

MoonshotAI: Kimi K2.7 CodeQwen/Qwen3-235B-A22B-Instruct-2507-FP8
Model idmoonshotai/kimi-k2.7-codeqwen/qwen3-235b-a22b-instruct-2507-fp8
AI IQ IQ 111#77 —
Context262,144 tokens262,144 tokens
Credits provider routes140
Cheapest route$4.173791/1M$1.84625/1M
Cached input$0.15825/1M to $0.546617/1MNot published
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT1583 ms via wandbnot enough data
Highest measured throughput167 tok/s via lyceumnot enough data
Recent route uptime range100.00%not enough data
Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 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="moonshotai/kimi-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or Qwen/Qwen3-235B-A22B-Instruct-2507-FP8?

MoonshotAI: Kimi K2.7 Code has more Credits provider routes. A published Credits price comparison is not available for both models. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K2.7 Code or Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $1.84625/1M for Qwen/Qwen3-235B-A22B-Instruct-2507-FP8. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 faster?

Current measured p50 time to first token is 1583 ms for MoonshotAI: Kimi K2.7 Code and not enough data for Qwen/Qwen3-235B-A22B-Instruct-2507-FP8. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k2.7-code and qwen/qwen3-235b-a22b-instruct-2507-fp8. This makes side-by-side evals possible without maintaining two provider integrations.

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