OpenAI compatible API · Attested · Public status

Google: Gemini 2.5 Pro vs Qwen: Qwen3.5-122B-A10B

Compare Google: Gemini 2.5 Pro and Qwen: Qwen3.5-122B-A10B by providers, context, price, and TrustedRouter route support.

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

Qwen: Qwen3.5-122B-A10B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5-122B-A10B has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route

$2.457/1MQwen: Qwen3.5-122B-A10B cheapest route

not enough dataGoogle: Gemini 2.5 Pro measured p50 TTFT

not enough dataQwen: Qwen3.5-122B-A10B measured p50 TTFT

Google: Gemini 2.5 ProQwen: Qwen3.5-122B-A10B

Model idgoogle/gemini-2.5-proqwen/qwen3.5-122b-a10b

PublisherGoogle AI StudioDeepInfra

AI IQ IQ 103#57 —

Context1,048,576 tokens262,144 tokens

Provider routes69

Cheapest route$11.8125/1M$2.457/1M

Privacy posturehas ZDR routeprovider posture varies

Modes chat chat

Google: Gemini 2.5 Pro routes

Overview6 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3.5-122B-A10B routes

Overview9 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://gchircrcif.eu-west-3.awsapprunner.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=messages,
)