OpenAI compatible API · Attested · Public status

Google: Gemini 2.5 Pro vs Qwen: Qwen3 VL 30B A3B Instruct

Compare Google: Gemini 2.5 Pro and Qwen: Qwen3 VL 30B A3B Instruct 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 VL 30B A3B 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 30B A3B Instruct with the lower p50 TTFT.

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route

$0.7875/1MQwen: Qwen3 VL 30B A3B Instruct cheapest route

2438 msGoogle: Gemini 2.5 Pro measured p50 TTFT

892 msQwen: Qwen3 VL 30B A3B Instruct measured p50 TTFT

Google: Gemini 2.5 ProQwen: Qwen3 VL 30B A3B Instruct

Model idgoogle/gemini-2.5-proqwen/qwen3-vl-30b-a3b-instruct

PublisherGoogle AI StudioDeepInfra

AI IQ IQ 103#57 —

Context1,048,576 tokens262,144 tokens

Provider routes65

Cheapest route$11.8125/1M$0.7875/1M

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 VL 30B A3B Instruct routes

Overview5 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,
)