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OpenAI compatible API · Attested · Public status

Google: Gemma 4 31B vs Qwen: Qwen3.6 27B

Google: Gemma 4 31B vs Qwen: Qwen3.6 27B: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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 31B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.45365/1MGoogle: Gemma 4 31B cheapest route
$1.5825/1MQwen: Qwen3.6 27B cheapest route
1019 msGoogle: Gemma 4 31B fastest measured p50 TTFT via greenference
2061 msQwen: Qwen3.6 27B fastest measured p50 TTFT via siliconflow

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 31BQwen: Qwen3.6 27B
Model idgoogle/gemma-4-31b-itqwen/qwen3.6-27b
Context262,144 tokens262,144 tokens
Credits provider routes179
Cheapest route$0.45365/1M$1.5825/1M
Cached input$0.03798/1M to $0.26375/1M$0.03165/1M to $0.180933/1M
Privacy posturehas Confidential route (E2EE + ZDR)has Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1019 ms via greenference2061 ms via siliconflow
Highest measured throughput360 tok/s via io-netnot enough data
Recent route uptime range25.00% to 100.00%50.00% to 100.00%
Modes chat chat

Google: Gemma 4 31B routes

Qwen: Qwen3.6 27B routes

Related comparisons

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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-4-31b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 31B or Qwen: Qwen3.6 27B?

Google: Gemma 4 31B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Google: Gemma 4 31B or Qwen: Qwen3.6 27B cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $1.5825/1M for Qwen: Qwen3.6 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Qwen: Qwen3.6 27B faster?

Current measured p50 time to first token is 1019 ms for Google: Gemma 4 31B and 2061 ms for Qwen: Qwen3.6 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Qwen: Qwen3.6 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-4-31b-it and qwen/qwen3.6-27b. This makes side-by-side evals possible without maintaining two provider integrations.

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