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OpenAI compatible API · Attested · Public status

Meta: Llama 3.3 70B Instruct vs Qwen: Qwen3 Next 80B A3B Instruct

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Qwen: Qwen3 Next 80B A3B Instruct has the larger context window. Compare price, speed, context, and privacy.

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

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Qwen: Qwen3 Next 80B A3B Instruct has the larger context window.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route
739 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via akashml
1364 msQwen: Qwen3 Next 80B A3B Instruct fastest measured p50 TTFT via databricks

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 3.3 70B InstructQwen: Qwen3 Next 80B A3B Instruct
Model idmeta-llama/llama-3.3-70b-instructqwen/qwen3-next-80b-a3b-instruct
AI IQ — —
Context131,072 tokens262,144 tokens
Credits provider routes114
Cheapest route$0.564425/1M$1.25545/1M
Cached input$0.1055/1M to $0.633/1M$0.059784/1M to $0.07385/1M
Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route
Fastest measured p50 TTFT739 ms via akashml1364 ms via databricks
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat decide chat

Meta: Llama 3.3 70B Instruct routes

Qwen: Qwen3 Next 80B A3B Instruct routes

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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-3.3-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or Qwen: Qwen3 Next 80B A3B Instruct?

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Qwen: Qwen3 Next 80B A3B Instruct has the larger context window.

Is Meta: Llama 3.3 70B Instruct or Qwen: Qwen3 Next 80B A3B Instruct cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or Qwen: Qwen3 Next 80B A3B Instruct faster?

Current measured p50 time to first token is 739 ms for Meta: Llama 3.3 70B Instruct and 1364 ms for Qwen: Qwen3 Next 80B A3B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.3 70B Instruct and Qwen: Qwen3 Next 80B A3B Instruct 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-3.3-70b-instruct and qwen/qwen3-next-80b-a3b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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