OpenAI compatible API · Attested · Public status

Google: Gemma 4 31B vs Qwen 3.7 Max

Google: Gemma 4 31B vs Qwen 3.7 Max: 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 cheapest prompt+completion route on TrustedRouter. Google: Gemma 4 31B has more provider fallback routes, while Qwen 3.7 Max has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

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

$11.34125/1MQwen 3.7 Max cheapest route

1061 msGoogle: Gemma 4 31B fastest measured p50 TTFT via cerebras

not enough dataQwen 3.7 Max fastest measured p50 TTFT

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 3.7 Max

Model idgoogle/gemma-4-31b-itqwen/qwen-3-7-max

Publisher Google AI Studio Venice

AI IQ IQ 101#75 —

Context262,144 tokens1,000,000 tokens

Provider routes282

Cheapest route$0.4642/1M$11.34125/1M

Privacy posturehas provider E2EE routeprovider posture varies

Fastest measured p50 TTFT1061 ms via cerebrasnot enough data

Highest measured throughput291 tok/s via cerebrasnot enough data

Recent route uptime range83.33% to 100.00%not enough data

Modes chat chat

Google: Gemma 4 31B routes

Overview28 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Qwen 3.7 Max routes

Overview2 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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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 3.7 Max?

Is Google: Gemma 4 31B or Qwen 3.7 Max cheaper?

The current cheapest TrustedRouter route is $0.4642/1M for Google: Gemma 4 31B and $11.34125/1M for Qwen 3.7 Max. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Qwen 3.7 Max faster?

Current measured p50 time to first token is 1061 ms for Google: Gemma 4 31B and not enough data for Qwen 3.7 Max. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Qwen 3.7 Max 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/qwen-3-7-max. This makes side-by-side evals possible without maintaining two provider integrations.