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Google: Gemma 4 31B vs Qwen3 VL 235B

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B and Qwen3 VL 235B. 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 31B has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.45365/1MGoogle: Gemma 4 31B cheapest route

$2.22605/1MQwen3 VL 235B cheapest route

665 msGoogle: Gemma 4 31B fastest measured p50 TTFT via crusoe

1023 msQwen3 VL 235B fastest measured p50 TTFT via venice

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 31BQwen3 VL 235B

Model idgoogle/gemma-4-31b-itqwen/qwen3-vl-235b-a22b

Publisher Google AI Studio Alibaba Cloud Model Studio

AI IQ IQ 101#116 —

Context262,144 tokens128,000 tokens

Credits provider routes161

Cheapest route$0.45365/1M$2.22605/1M

Cached input$0.03798/1M to $0.26375/1M$0.1055/1M

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT665 ms via crusoe1023 ms via venice

Highest measured throughput146 tok/s via crusoenot enough data

Recent route uptime range0.00% to 100.00%100.00%

Modes chat chat

Google: Gemma 4 31B routes

Overview16 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen3 VL 235B routes

Overview1 Credits routes

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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 Qwen3 VL 235B?

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

Is Google: Gemma 4 31B or Qwen3 VL 235B cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $2.22605/1M for Qwen3 VL 235B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Qwen3 VL 235B faster?

Current measured p50 time to first token is 665 ms for Google: Gemma 4 31B and 1023 ms for Qwen3 VL 235B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Qwen3 VL 235B 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-vl-235b-a22b. This makes side-by-side evals possible without maintaining two provider integrations.