OpenAI compatible API · Attested · Public status

Meta: Llama 3.3 70B Instruct vs OpenAI: gpt-oss-120b

Compare Meta: Llama 3.3 70B Instruct and OpenAI: gpt-oss-120b 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

OpenAI: gpt-oss-120b has the lower cheapest prompt+completion route on TrustedRouter. OpenAI: gpt-oss-120b has more provider fallback routes, while Meta: Llama 3.3 70B Instruct has the larger context window. Current TrustedRouter probes show OpenAI: gpt-oss-120b with the lower p50 TTFT.

$0.56175/1MMeta: Llama 3.3 70B Instruct cheapest route

$0.21735/1MOpenAI: gpt-oss-120b cheapest route

849 msMeta: Llama 3.3 70B Instruct measured p50 TTFT

697 msOpenAI: gpt-oss-120b measured p50 TTFT

Meta: Llama 3.3 70B InstructOpenAI: gpt-oss-120b

Model idmeta-llama/llama-3.3-70b-instructopenai/gpt-oss-120b

PublisherCerebrasOpenAI

AI IQ — IQ 105#52

Context131,072 tokens131,072 tokens

Provider routes1424

Cheapest route$0.56175/1M$0.21735/1M

Privacy posturehas provider E2EE routehas provider E2EE route

Modes chat chat

Meta: Llama 3.3 70B Instruct routes

Overview14 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

OpenAI: gpt-oss-120b routes

Overview24 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="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)