OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 Exp vs Google: Gemini 2.5 Pro

Compare DeepSeek: DeepSeek V3.2 Exp and Google: Gemini 2.5 Pro 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

DeepSeek: DeepSeek V3.2 Exp 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 DeepSeek: DeepSeek V3.2 Exp with the lower p50 TTFT.

$0.714/1MDeepSeek: DeepSeek V3.2 Exp cheapest route

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route

2263 msDeepSeek: DeepSeek V3.2 Exp measured p50 TTFT

2438 msGoogle: Gemini 2.5 Pro measured p50 TTFT

DeepSeek: DeepSeek V3.2 ExpGoogle: Gemini 2.5 Pro

Model iddeepseek/deepseek-v3.2-expgoogle/gemini-2.5-pro

PublisherDeepSeekGoogle AI Studio

AI IQ — IQ 103#57

Context163,840 tokens1,048,576 tokens

Provider routes56

Cheapest route$0.714/1M$11.8125/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

DeepSeek: DeepSeek V3.2 Exp routes

Overview5 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Google: Gemini 2.5 Pro routes

Overview6 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
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="deepseek/deepseek-v3.2-exp",
    messages=messages,
)