OpenAI compatible API · Attested · Public status

google/gemini-3.1-pro vs OpenAI: gpt-oss-120b

google/gemini-3.1-pro 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

google/gemini-3.1-pro has the larger context window. gpt-oss-120b has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$14.77/1Mgoogle/gemini-3.1-pro cheapest route
$0.211/1MOpenAI: gpt-oss-120b cheapest route
not enough datagoogle/gemini-3.1-pro fastest measured p50 TTFT
799 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via mancer

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.

google/gemini-3.1-proOpenAI: gpt-oss-120b
Model idgoogle/gemini-3.1-proopenai/gpt-oss-120b
Context1,000,000 tokens131,072 tokens
Credits provider routes122
Cheapest route$14.77/1M$0.211/1M
Cached inputNot published$0.015825/1M to $0.1055/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFTnot enough data799 ms via mancer
Highest measured throughputnot enough data86 tok/s via nscale
Recent route uptime range100.00%83.60% to 100.00%
Modes chat chat

google/gemini-3.1-pro 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="google/gemini-3.1-pro",
    messages=messages,
)

Questions

Which should I use, google/gemini-3.1-pro or OpenAI: gpt-oss-120b?

google/gemini-3.1-pro has the larger context window. gpt-oss-120b has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is google/gemini-3.1-pro or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $14.77/1M for google/gemini-3.1-pro and $0.211/1M for OpenAI: gpt-oss-120b. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemini-3.1-pro or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is not enough data for google/gemini-3.1-pro and 799 ms for OpenAI: gpt-oss-120b. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test google/gemini-3.1-pro 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 google/gemini-3.1-pro and openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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