OpenAI compatible API · Attested · Public status
Google: Gemini 2.5 Pro vs Meta: Llama 4 Maverick
Compare Google: Gemini 2.5 Pro and Meta: Llama 4 Maverick by providers, context, price, and TrustedRouter route support.
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 2.5 Pro has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Current TrustedRouter probes show Meta: Llama 4 Maverick with the lower p50 TTFT.
$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route
$1.176/1MMeta: Llama 4 Maverick cheapest route
5447 msGoogle: Gemini 2.5 Pro measured p50 TTFT
1821 msMeta: Llama 4 Maverick measured p50 TTFT
Google: Gemini 2.5 ProMeta: Llama 4 Maverick
Model id
google/gemini-2.5-prometa-llama/llama-4-maverick
PublisherGoogle AI StudioCerebras
Context1,048,576 tokens1,048,576 tokens
Provider routes84
Cheapest route$11.8125/1M$1.176/1M
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
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,
)