OpenAI compatible API · Attested · Public status

Google: Gemini 2.5 Pro vs Qwen: Qwen3 VL 235B A22B Instruct

Compare Google: Gemini 2.5 Pro and Qwen: Qwen3 VL 235B A22B Instruct by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

Noneprompt logs by default

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 VL 235B A22B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 2.5 Pro has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Current TrustedRouter probes show Qwen: Qwen3 VL 235B A22B Instruct with the lower p50 TTFT.

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route

$1.134/1MQwen: Qwen3 VL 235B A22B Instruct cheapest route

5447 msGoogle: Gemini 2.5 Pro measured p50 TTFT

3205 msQwen: Qwen3 VL 235B A22B Instruct measured p50 TTFT

Google: Gemini 2.5 ProQwen: Qwen3 VL 235B A22B Instruct

Model idgoogle/gemini-2.5-proqwen/qwen3-vl-235b-a22b-instruct

PublisherGoogle AI StudioDeepInfra

AI IQ IQ 104#55 —

Context1,048,576 tokens262,144 tokens

Provider routes86

Cheapest route$11.8125/1M$1.134/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

Google: Gemini 2.5 Pro routes

Overview8 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3 VL 235B A22B Instruct routes

Overview6 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-2.5-pro",
    messages=messages,
)