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OpenAI compatible API · Attested · Public status

Google: Gemma 4 26B A4B vs Qwen: Qwen3.6 27B

Google: Gemma 4 26B A4B 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 26B A4B has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$0.41145/1MGoogle: Gemma 4 26B A4B cheapest route
$2.4265/1MQwen: Qwen3.6 27B cheapest route
651 msGoogle: Gemma 4 26B A4B fastest measured p50 TTFT via wandb
not enough dataQwen: Qwen3.6 27B 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.

Google: Gemma 4 26B A4B Qwen: Qwen3.6 27B
Model idgoogle/gemma-4-26b-a4b-itqwen/qwen3.6-27b
Context262,144 tokens262,144 tokens
Credits provider routes98
Cheapest route$0.41145/1M$2.4265/1M
Cached input$0.046157/1M to $0.05275/1M$0.03165/1M to $0.180933/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT651 ms via wandbnot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range50.00% to 100.00%100.00%
Modes chat decide chat

Google: Gemma 4 26B A4B 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-4-26b-a4b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 26B A4B or Qwen: Qwen3.6 27B?

Google: Gemma 4 26B A4B has the lower published input-plus-output rate and more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is Google: Gemma 4 26B A4B or Qwen: Qwen3.6 27B cheaper?

The current cheapest TrustedRouter route is $0.41145/1M for Google: Gemma 4 26B A4B and $2.4265/1M for Qwen: Qwen3.6 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 26B A4B or Qwen: Qwen3.6 27B faster?

Current measured p50 time to first token is 651 ms for Google: Gemma 4 26B A4B and not enough data 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 26B A4B 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-4-26b-a4b-it and qwen/qwen3.6-27b. This makes side-by-side evals possible without maintaining two provider integrations.

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