OpenAI compatible API · Attested · Public status

Qwen: Qwen3.5 397B A17B vs Meta: Llama 3.3 70B Instruct

Compare Qwen: Qwen3.5 397B A17B and Meta: Llama 3.3 70B Instruct by providers, context, price, and TrustedRouter route support.

Verify gateway

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. Qwen: Qwen3.5 397B A17B has more provider fallback routes, while Qwen: Qwen3.5 397B A17B has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.

$2.97675/1MQwen: Qwen3.5 397B A17B cheapest route

$0.526575/1MMeta: Llama 3.3 70B Instruct cheapest route

3375 msQwen: Qwen3.5 397B A17B measured p50 TTFT

2217 msMeta: Llama 3.3 70B Instruct measured p50 TTFT

Qwen: Qwen3.5 397B A17BMeta: Llama 3.3 70B Instruct

Model idqwen/qwen3.5-397b-a17bmeta-llama/llama-3.3-70b-instruct

PublisherDeepInfraCerebras

AI IQ — —

Context262,144 tokens131,072 tokens

Provider routes1514

Cheapest route$2.97675/1M$0.526575/1M

Privacy posturehas provider E2EE routehas provider E2EE route

Modes chat chat

Qwen: Qwen3.5 397B A17B routes

Overview15 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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="qwen/qwen3.5-397b-a17b",
    messages=messages,
)