OpenAI compatible API · Attested · Public status
Meta: Llama 3.3 70B Instruct vs OpenAI: GPT-4 Turbo
Compare Meta: Llama 3.3 70B Instruct and OpenAI: GPT-4 Turbo 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 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 Meta: Llama 3.3 70B Instruct has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.
$0.526575/1MMeta: Llama 3.3 70B Instruct cheapest route
$42/1MOpenAI: GPT-4 Turbo cheapest route
2217 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
7106 msOpenAI: GPT-4 Turbo measured p50 TTFT
Meta: Llama 3.3 70B InstructOpenAI: GPT-4 Turbo
Model id
meta-llama/llama-3.3-70b-instructopenai/gpt-4-turbo
PublisherCerebrasOpenAI
Context131,072 tokens128,000 tokens
Provider routes144
Cheapest route$0.526575/1M$42/1M
Privacy posturehas provider E2EE routeprovider posture varies
Modes
chat
chat
Meta: Llama 3.3 70B Instruct routes
- Overview14 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="meta-llama/llama-3.3-70b-instruct",
messages=messages,
)