Free to start

Google: Gemma 4 31B vs Qwen: Qwen3.6 35B A3B

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B and Qwen3.6 35B A3B. 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

Qwen: Qwen3.6 35B A3B 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.

$0.4642/1MGoogle: Gemma 4 31B cheapest route

$0.363975/1MQwen: Qwen3.6 35B A3B cheapest route

1333 msGoogle: Gemma 4 31B fastest measured p50 TTFT via tinfoil

642 msQwen: Qwen3.6 35B A3B fastest measured p50 TTFT via parasail

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 35B A3B

Model idgoogle/gemma-4-31b-itqwen/qwen3.6-35b-a3b

Publisher Google AI Studio Alibaba Cloud Model Studio

AI IQ IQ 101#120 IQ 104#107

Context262,144 tokens262,144 tokens

Credits provider routes1314

Cheapest route$0.4642/1M$0.363975/1M

Cached input$0.03798/1M to $0.26375/1M$0.015825/1M to $0.19623/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT1333 ms via tinfoil642 ms via parasail

Highest measured throughputnot enough datanot enough data

Recent route uptime range75.00% to 100.00%75.00% to 100.00%

Modes chat chat

Google: Gemma 4 31B routes

Overview13 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3.6 35B A3B routes

Overview14 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Qwen: Qwen3.6 35B A3B vs Z.ai: GLM 5.347 combined provider routes
Google: Gemma 4 31B vs Z.ai: GLM 5.346 combined provider routes
Qwen: Qwen3.6 35B A3B vs Z.ai: GLM 5.246 combined provider routes
Qwen: Qwen3.6 35B A3B vs Z.ai: GLM 5.3 Flash46 combined provider routes
Google: Gemma 4 31B vs Z.ai: GLM 5.245 combined provider routes
Google: Gemma 4 31B vs Z.ai: GLM 5.3 Flash45 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.6 35B A3B42 combined provider routes
Google: Gemma 4 31B vs MoonshotAI: Kimi K341 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.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 35B A3B?

Qwen: Qwen3.6 35B A3B 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 35B A3B cheaper?

The current cheapest TrustedRouter route is $0.4642/1M for Google: Gemma 4 31B and $0.363975/1M for Qwen: Qwen3.6 35B A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Qwen: Qwen3.6 35B A3B faster?

Current measured p50 time to first token is 1333 ms for Google: Gemma 4 31B and 642 ms for Qwen: Qwen3.6 35B A3B. 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 35B A3B 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/qwen3.6-35b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.