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Google: Gemma 3 27B vs Qwen: Qwen3 Next 80B A3B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Gemma 3 27B and Qwen3 Next 80B A3B Instruct. 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 3 27B has the lower published input-plus-output rate and more Credits provider routes. Qwen: Qwen3 Next 80B A3B Instruct has the larger context window. There is not enough recent probe data to compare speed.

$0.2532/1MGoogle: Gemma 3 27B cheapest route

$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route

not enough dataGoogle: Gemma 3 27B fastest measured p50 TTFT

not enough dataQwen: Qwen3 Next 80B A3B Instruct 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 3 27BQwen: Qwen3 Next 80B A3B Instruct

Model idgoogle/gemma-3-27b-itqwen/qwen3-next-80b-a3b-instruct

Publisher Google AI Studio Alibaba Cloud Model Studio

AI IQ — —

Context131,072 tokens262,144 tokens

Credits provider routes54

Cheapest route$0.2532/1M$1.25545/1M

Cached input$0.0422/1M$0.062641/1M to $0.07385/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

Google: Gemma 3 27B routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3 Next 80B A3B Instruct routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

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Google: Gemma 3 27B vs Z.ai: GLM 5.338 combined provider routes
Google: Gemma 3 27B vs Z.ai: GLM 5.237 combined provider routes
Google: Gemma 3 27B vs Z.ai: GLM 5.3 Flash37 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.337 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.236 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.3 Flash36 combined provider routes
Google: Gemma 3 27B vs MoonshotAI: Kimi K333 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3 Next 80B A3B Instruct32 combined provider routes

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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemma-3-27b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 3 27B or Qwen: Qwen3 Next 80B A3B Instruct?

Is Google: Gemma 3 27B or Qwen: Qwen3 Next 80B A3B Instruct cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for Google: Gemma 3 27B and $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 3 27B or Qwen: Qwen3 Next 80B A3B Instruct faster?

Current measured p50 time to first token is not enough data for Google: Gemma 3 27B and not enough data for Qwen: Qwen3 Next 80B A3B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 3 27B and Qwen: Qwen3 Next 80B A3B Instruct 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-3-27b-it and qwen/qwen3-next-80b-a3b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.