OpenAI compatible API · Attested · Public status

Google: Gemini 3.1 Pro Preview vs Qwen3.7-Max

Compare Google: Gemini 3.1 Pro Preview and Qwen3.7-Max across token pricing, context windows, provider availability, privacy options, route diversity, and measured performance.

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

Qwen3.7-Max has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 3.1 Pro Preview has more provider fallback routes, while Google: Gemini 3.1 Pro Preview has the larger context window. Current TrustedRouter probes show Qwen3.7-Max with the lower p50 TTFT.

$14.7/1MGoogle: Gemini 3.1 Pro Preview cheapest route

$5.25/1MQwen3.7-Max cheapest route

3321 msGoogle: Gemini 3.1 Pro Preview measured p50 TTFT

2757 msQwen3.7-Max measured p50 TTFT

Google: Gemini 3.1 Pro PreviewQwen3.7-Max

Model idgoogle/gemini-3.1-pro-previewqwen/qwen3.7-max

Publisher Google AI Studio Novita AI

AI IQ IQ 127#9 IQ 118#23

Context1,048,576 tokens1,000,000 tokens

Provider routes74

Cheapest route$14.7/1M$5.25/1M

Privacy posturehas ZDR routeprovider posture varies

Modes chat chat

Google: Gemini 3.1 Pro Preview routes

Overview7 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen3.7-Max routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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/gemini-3.1-pro-preview",
    messages=messages,
)