OpenAI compatible API · Attested · Public status

Meta: Llama 3.1 8B Instruct vs OpenAI: gpt-oss-120b

Meta: Llama 3.1 8B Instruct vs gpt-oss-120b: 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

Meta: Llama 3.1 8B Instruct has the lower published input-plus-output rate. gpt-oss-120b has more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route
$0.211/1MOpenAI: gpt-oss-120b cheapest route
1219 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via wandb
1019 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via sail-research

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 InstructOpenAI: gpt-oss-120b
Model idmeta-llama/llama-3.1-8b-instructopenai/gpt-oss-120b
AI IQ — IQ 97#117
Context131,072 tokens131,072 tokens
Credits provider routes423
Cheapest route$0.07385/1M$0.211/1M
Cached input$0.211/1M$0.015825/1M to $0.1055/1M
Privacy posturehas ZDR routehas provider E2EE route
Fastest measured p50 TTFT1219 ms via wandb1019 ms via sail-research
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Meta: Llama 3.1 8B Instruct routes

OpenAI: gpt-oss-120b routes

Related comparisons

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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 OpenAI: gpt-oss-120b?

Meta: Llama 3.1 8B Instruct has the lower published input-plus-output rate. gpt-oss-120b has more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Meta: Llama 3.1 8B Instruct or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $0.07385/1M for Meta: Llama 3.1 8B Instruct and $0.211/1M for OpenAI: gpt-oss-120b. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 8B Instruct or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is 1219 ms for Meta: Llama 3.1 8B Instruct and 1019 ms for OpenAI: gpt-oss-120b. 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 OpenAI: gpt-oss-120b 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 openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.

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