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Meta: Llama 3.1 8B Instruct vs Qwen: Qwen3.5 397B A17B

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.1 8B Instruct and Qwen3.5 397B A17B. Switch by changing the model name.

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

Monthly evidence

Meta: Llama 3.1 8B Instruct has the lower published input-plus-output rate and the lower measured p50 time to first token. Qwen: Qwen3.5 397B A17B has more Credits provider routes and the larger context window.

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route

$3.63975/1MQwen: Qwen3.5 397B A17B cheapest route

299 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via wandb

1453 msQwen: Qwen3.5 397B A17B fastest measured p50 TTFT via parasail

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Meta: Llama 3.1 8B InstructQwen: Qwen3.5 397B A17B

Model idmeta-llama/llama-3.1-8b-instructqwen/qwen3.5-397b-a17b

Publisher Meta Alibaba Cloud Model Studio

AI IQ — —

Context131,072 tokens262,144 tokens

Credits provider routes312

Cheapest route$0.07385/1M$3.63975/1M

Cached inputNot published$0.047475/1M to $0.58025/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT299 ms via wandb1453 ms via parasail

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%50.00% to 100.00%

Modes chat chat

Meta: Llama 3.1 8B Instruct routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3.5 397B A17B routes

Overview12 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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-3.1-8b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.1 8B Instruct or Qwen: Qwen3.5 397B A17B?

Is Meta: Llama 3.1 8B Instruct or Qwen: Qwen3.5 397B A17B cheaper?

The current cheapest TrustedRouter route is $0.07385/1M for Meta: Llama 3.1 8B Instruct and $3.63975/1M for Qwen: Qwen3.5 397B A17B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 8B Instruct or Qwen: Qwen3.5 397B A17B faster?

Current measured p50 time to first token is 299 ms for Meta: Llama 3.1 8B Instruct and 1453 ms for Qwen: Qwen3.5 397B A17B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.1 8B Instruct and Qwen: Qwen3.5 397B A17B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between meta-llama/llama-3.1-8b-instruct and qwen/qwen3.5-397b-a17b. This makes side-by-side evals possible without maintaining two provider integrations.