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Meta: Muse Spark 1.1 vs Qwen: Qwen3.8 27B

Try both on us. Starter credit covers your first requests, then one key routes Muse Spark 1.1 and Qwen3.8 27B. 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

Muse Spark 1.1 has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$5.8025/1MMeta: Muse Spark 1.1 cheapest route

$0.385075/1MQwen: Qwen3.8 27B cheapest route

1966 msMeta: Muse Spark 1.1 fastest measured p50 TTFT via meta

784 msQwen: Qwen3.8 27B fastest measured p50 TTFT via engy

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: Muse Spark 1.1Qwen: Qwen3.8 27B

Model idmeta/muse-spark-1.1qwen/qwen3.8-27b

Publisher Meta Alibaba Cloud Model Studio

AI IQ IQ 119#47 IQ 116#52

Context1,048,576 tokens65,536 tokens

Credits provider routes119

Cheapest route$5.8025/1M$0.385075/1M

Cached input$0.15825/1M$0.01/1M to $0.19834/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT1966 ms via meta784 ms via engy

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Meta: Muse Spark 1.1 routes

Overview1 Credits routes

Qwen: Qwen3.8 27B routes

Overview19 Credits routes
PricingInput, cached input, and output rates
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="meta/muse-spark-1.1",
    messages=messages,
)

Questions

Which should I use, Meta: Muse Spark 1.1 or Qwen: Qwen3.8 27B?

Muse Spark 1.1 has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

Is Meta: Muse Spark 1.1 or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $5.8025/1M for Meta: Muse Spark 1.1 and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Muse Spark 1.1 or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is 1966 ms for Meta: Muse Spark 1.1 and 784 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Muse Spark 1.1 and Qwen: Qwen3.8 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between meta/muse-spark-1.1 and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.