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Meta: Llama 3.3 70B Instruct vs OpenAI: gpt-oss-20b

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and gpt-oss-20b. 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

gpt-oss-20b has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

$0.057475/1MOpenAI: gpt-oss-20b cheapest route

1433 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via sambanova

1058 msOpenAI: gpt-oss-20b fastest measured p50 TTFT via nvidia-nim

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 InstructOpenAI: gpt-oss-20b

Model idmeta-llama/llama-3.3-70b-instructopenai/gpt-oss-20b

Publisher Meta OpenAI

AI IQ — IQ 93#155

Context131,072 tokens131,072 tokens

Credits provider routes1013

Cheapest route$0.564425/1M$0.057475/1M

Cached input$0.1055/1M to $0.633/1M$0.01/1M to $0.029013/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT1433 ms via sambanova1058 ms via nvidia-nim

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%33.33% to 100.00%

Modes chat decide chat decide

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

OpenAI: gpt-oss-20b routes

Overview13 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-3.3-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or OpenAI: gpt-oss-20b?

gpt-oss-20b has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Meta: Llama 3.3 70B Instruct or OpenAI: gpt-oss-20b cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $0.057475/1M for OpenAI: gpt-oss-20b. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or OpenAI: gpt-oss-20b faster?

Current measured p50 time to first token is 1433 ms for Meta: Llama 3.3 70B Instruct and 1058 ms for OpenAI: gpt-oss-20b. 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 OpenAI: gpt-oss-20b 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 openai/gpt-oss-20b. This makes side-by-side evals possible without maintaining two provider integrations.