OpenAI compatible API · Attested · Public status

Claude Opus 5 vs Google: Gemini 3.1 Pro Preview

Compare Claude Opus 5 and Google: Gemini 3.1 Pro Preview 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

Google: Gemini 3.1 Pro Preview 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. Probe-backed speed data is shown when enough recent samples exist.

$31.5/1MClaude Opus 5 cheapest route

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

not enough dataClaude Opus 5 measured p50 TTFT

not enough dataGoogle: Gemini 3.1 Pro Preview measured p50 TTFT

Claude Opus 5Google: Gemini 3.1 Pro Preview

Model idanthropic/claude-opus-5google/gemini-3.1-pro-preview

PublisherAnthropicGoogle AI Studio

AI IQ IQ 134#3 IQ 127#9

Context1,000,000 tokens1,048,576 tokens

Provider routes57

Cheapest route$31.5/1M$14.7/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat messages chat

Claude Opus 5 routes

Overview5 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Google: Gemini 3.1 Pro Preview routes

Overview7 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://gchircrcif.eu-west-3.awsapprunner.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="anthropic/claude-opus-5",
    messages=messages,
)