OpenAI compatible API. Attested gateway. Public status.

Meta: Llama 3.3 70B Instruct vs Google: Gemini 2.5 Pro

Compare Meta: Llama 3.3 70B Instruct and Google: Gemini 2.5 Pro by providers, context, price, and TrustedRouter route support.

Verify gateway
1 URLbase_url migration
100smodels and routes
0prompt 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 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.5885/1MMeta: Llama 3.3 70B Instruct cheapest route
$12.375/1MGoogle: Gemini 2.5 Pro cheapest route
1075 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
not enough dataGoogle: Gemini 2.5 Pro measured p50 TTFT
Meta: Llama 3.3 70B InstructGoogle: Gemini 2.5 Pro
Model idmeta-llama/llama-3.3-70b-instructgoogle/gemini-2.5-pro
PublisherCerebrasGemini
AI IQ — IQ 96#65
Context131,072 tokens1,048,576 tokens
Provider routes138
Cheapest route$0.5885/1M$12.375/1M
Privacy posturehas provider E2EE routehas provider E2EE route
Modes chat chat

Meta: Llama 3.3 70B Instruct routes

Google: Gemini 2.5 Pro routes

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="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)

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