OpenAI compatible API · Attested · Public status

Google: Gemini 3.1 Pro Preview vs Meta: Llama 4 Maverick

Compare Google: Gemini 3.1 Pro Preview and Meta: Llama 4 Maverick 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

Meta: Llama 4 Maverick 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. Current TrustedRouter probes show Meta: Llama 4 Maverick with the lower p50 TTFT.

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

$1.176/1MMeta: Llama 4 Maverick cheapest route

5444 msGoogle: Gemini 3.1 Pro Preview measured p50 TTFT

1835 msMeta: Llama 4 Maverick measured p50 TTFT

Google: Gemini 3.1 Pro PreviewMeta: Llama 4 Maverick

Model idgoogle/gemini-3.1-pro-previewmeta-llama/llama-4-maverick

PublisherGoogle AI StudioCerebras

AI IQ IQ 126#8 IQ 90#90

Context1,048,576 tokens1,048,576 tokens

Provider routes74

Cheapest route$14.7/1M$1.176/1M

Privacy postureprovider posture varieshas ZDR route

Modes chat chat

Google: Gemini 3.1 Pro Preview routes

Overview7 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Meta: Llama 4 Maverick routes

Overview4 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-3.1-pro-preview",
    messages=messages,
)