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OpenAI compatible API · Attested · Public status

Meta: Llama 4 Maverick vs OpenAI: gpt-oss-120b

gpt-oss-120b has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token. 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

gpt-oss-120b has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.1816/1MMeta: Llama 4 Maverick cheapest route
$0.211/1MOpenAI: gpt-oss-120b cheapest route
1419 msMeta: Llama 4 Maverick fastest measured p50 TTFT via digitalocean
667 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via fireworks

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 4 MaverickOpenAI: gpt-oss-120b
Model idmeta-llama/llama-4-maverickopenai/gpt-oss-120b
Context128,000 tokens131,072 tokens
Credits provider routes323
Cheapest route$1.1816/1M$0.211/1M
Cached input$0.05275/1M to $0.17935/1M$0.015825/1M to $0.1055/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1419 ms via digitalocean667 ms via fireworks
Highest measured throughputnot enough data92 tok/s via nscale
Recent route uptime range100.00%100.00%
Modes chat chat

Meta: Llama 4 Maverick routes

OpenAI: gpt-oss-120b 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-4-maverick",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 4 Maverick or OpenAI: gpt-oss-120b?

gpt-oss-120b has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Meta: Llama 4 Maverick or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $1.1816/1M for Meta: Llama 4 Maverick and $0.211/1M for OpenAI: gpt-oss-120b. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 4 Maverick or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is 1419 ms for Meta: Llama 4 Maverick and 667 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 4 Maverick 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-4-maverick and openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.

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