OpenAI compatible API · Attested · Public status
Meta: Llama 3.1 70B Instruct vs Qwen: Qwen3.5-9B
Compare Meta: Llama 3.1 70B Instruct and Qwen: Qwen3.5-9B 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
Qwen: Qwen3.5-9B has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5-9B has more provider fallback routes, while Qwen: Qwen3.5-9B 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
$0.2625/1MQwen: Qwen3.5-9B cheapest route
not enough dataMeta: Llama 3.1 70B Instruct measured p50 TTFT
not enough dataQwen: Qwen3.5-9B measured p50 TTFT
Meta: Llama 3.1 70B InstructQwen: Qwen3.5-9B
Model id
meta-llama/llama-3.1-70b-instructqwen/qwen3.5-9b
PublisherCerebrasDeepInfra
Context131,072 tokens262,144 tokens
Provider routes48
Cheapest route$0.84/1M$0.2625/1M
Privacy postureprovider posture varieshas ZDR 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,
)