OpenAI compatible API · Attested · Public status

Google: Gemma 4 31B vs Qwen: Qwen3.8-Flash-Next

Google: Gemma 4 31B vs Qwen: Qwen3.8-Flash-Next: 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 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.

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

$0.62245/1MQwen: Qwen3.8-Flash-Next cheapest route

1071 msGoogle: Gemma 4 31B fastest measured p50 TTFT via digitalocean

1420 msQwen: Qwen3.8-Flash-Next fastest measured p50 TTFT via pearl

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: Qwen3.8-Flash-Next

Model idgoogle/gemma-4-31b-itqwen/qwen3.8-flash-next

Publisher Google AI Studio Pearl Research Labs

AI IQ IQ 103#79 —

Context262,144 tokens262,144 tokens

Credits provider routes152

Cheapest route$0.45365/1M$0.62245/1M

Cached input$0.03798/1M to $0.26375/1M$0.015825/1M to $0.03165/1M

Privacy posturehas provider E2EE routeprovider posture varies

Fastest measured p50 TTFT1071 ms via digitalocean1420 ms via pearl

Highest measured throughputnot enough datanot enough data

Recent route uptime range0.00% to 100.00%66.67% to 100.00%

Modes chat chat

Google: Gemma 4 31B routes

Overview15 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3.8-Flash-Next routes

Overview2 Credits routes
PricingInput, cached input, and output 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: Qwen3.8-Flash-Next?

Google: Gemma 4 31B 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: Qwen3.8-Flash-Next cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $0.62245/1M for Qwen: Qwen3.8-Flash-Next. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Qwen: Qwen3.8-Flash-Next faster?

Current measured p50 time to first token is 1071 ms for Google: Gemma 4 31B and 1420 ms for Qwen: Qwen3.8-Flash-Next. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Qwen: Qwen3.8-Flash-Next 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/qwen3.8-flash-next. This makes side-by-side evals possible without maintaining two provider integrations.