OpenAI compatible API · Attested · Public status

Meta: Llama 3.1 70B Instruct vs Qwen: Qwen3.5-9B

Meta: Llama 3.1 70B Instruct vs Qwen: Qwen3.5-9B: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

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

Monthly evidence

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. Current TrustedRouter probes show Meta: Llama 3.1 70B Instruct with the lower p50 TTFT.

$0.844/1MMeta: Llama 3.1 70B Instruct cheapest route

$0.26375/1MQwen: Qwen3.5-9B cheapest route

1804 msMeta: Llama 3.1 70B Instruct fastest measured p50 TTFT via telnyx

2798 msQwen: Qwen3.5-9B fastest measured p50 TTFT via regolo

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 70B InstructQwen: Qwen3.5-9B

Model idmeta-llama/llama-3.1-70b-instructqwen/qwen3.5-9b

Publisher Cerebras DeepInfra

AI IQ — IQ 95#108

Context131,072 tokens262,144 tokens

Credits provider routes35

Cheapest route$0.844/1M$0.26375/1M

Cached input$0.633/1MNot published

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT1804 ms via telnyx2798 ms via regolo

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Meta: Llama 3.1 70B Instruct routes

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

Qwen: Qwen3.5-9B routes

Overview5 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-3.1-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.1 70B Instruct or Qwen: Qwen3.5-9B?

Is Meta: Llama 3.1 70B Instruct or Qwen: Qwen3.5-9B cheaper?

The current cheapest TrustedRouter route is $0.844/1M for Meta: Llama 3.1 70B Instruct and $0.26375/1M for Qwen: Qwen3.5-9B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 70B Instruct or Qwen: Qwen3.5-9B faster?

Current measured p50 time to first token is 1804 ms for Meta: Llama 3.1 70B Instruct and 2798 ms for Qwen: Qwen3.5-9B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.1 70B Instruct and Qwen: Qwen3.5-9B 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-3.1-70b-instruct and qwen/qwen3.5-9b. This makes side-by-side evals possible without maintaining two provider integrations.