OpenAI compatible API · Attested · Public status
Meta: Llama 3.1 70B Instruct vs Qwen: Qwen3.6 27B
Compare Meta: Llama 3.1 70B Instruct and Qwen: Qwen3.6 27B by providers, context, price, and TrustedRouter route support.
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
Meta: Llama 3.1 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.6 27B has more provider fallback routes, while Qwen: Qwen3.6 27B has the larger context window. Probe-backed speed data is shown when enough recent samples exist.
$0.84/1MMeta: Llama 3.1 70B Instruct cheapest route
$2.415/1MQwen: Qwen3.6 27B cheapest route
not enough dataMeta: Llama 3.1 70B Instruct measured p50 TTFT
not enough dataQwen: Qwen3.6 27B measured p50 TTFT
Meta: Llama 3.1 70B InstructQwen: Qwen3.6 27B
Model id
meta-llama/llama-3.1-70b-instructqwen/qwen3.6-27b
PublisherCerebrasDeepInfra
Context131,072 tokens262,144 tokens
Provider routes411
Cheapest route$0.84/1M$2.415/1M
Privacy postureprovider posture varieshas confidential-compute route
Modes
chat
chat
Meta: Llama 3.1 70B Instruct 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://gchircrcif.eu-west-3.awsapprunner.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="meta-llama/llama-3.1-70b-instruct",
messages=messages,
)