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google/gemma-4-12B-it vs Qwen: Qwen3.8 27B

Try both on us. Starter credit covers your first requests, then one key routes google/gemma-4-12B-it 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

google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.8 27B has more Credits provider routes.

$0.13715/1Mgoogle/gemma-4-12B-it cheapest route

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

739 msgoogle/gemma-4-12B-it fastest measured p50 TTFT via neurometric

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.

google/gemma-4-12B-itQwen: Qwen3.8 27B

Model idgoogle/gemma-4-12b-itqwen/qwen3.8-27b

Publisher Google AI Studio Alibaba Cloud Model Studio

AI IQ IQ 95#141 IQ 116#52

Context0 tokens65,536 tokens

Credits provider routes319

Cheapest route$0.13715/1M$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 TTFT739 ms via neurometric784 ms via engy

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

google/gemma-4-12B-it routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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="google/gemma-4-12b-it",
    messages=messages,
)

Questions

Which should I use, google/gemma-4-12B-it or Qwen: Qwen3.8 27B?

google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.8 27B has more Credits provider routes.

Is google/gemma-4-12B-it or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $0.13715/1M for google/gemma-4-12B-it and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemma-4-12B-it or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is 739 ms for google/gemma-4-12B-it 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 google/gemma-4-12B-it 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 google/gemma-4-12b-it and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.