Bring your own key

OpenAI: gpt-oss-120b vs PaddleOCR VL

One key routes both. Starter credit covers your first gpt-oss-120b requests, while PaddleOCR VL runs on your own provider key. 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-120b has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$0.211/1MOpenAI: gpt-oss-120b cheapest route

$0.0422/1MPaddleOCR VL cheapest route

455 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via fireworks

not enough dataPaddleOCR VL fastest measured p50 TTFT

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.

OpenAI: gpt-oss-120bPaddleOCR VL

Model idopenai/gpt-oss-120bpaddlepaddle/paddleocr-vl

Publisher OpenAI Baidu AI Cloud Qianfan

AI IQ IQ 98#133 —

Context131,072 tokens16,384 tokens

Credits provider routes240

Cheapest route$0.211/1M$0.0422/1M

Cached input$0.015825/1M to $0.1055/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT455 ms via fireworksnot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%not enough data

Modes chat chat

OpenAI: gpt-oss-120b routes

Overview24 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

PaddleOCR VL routes

Overview0 Credits 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="openai/gpt-oss-120b",
    messages=messages,
)

Questions

Which should I use, OpenAI: gpt-oss-120b or PaddleOCR VL?

Is OpenAI: gpt-oss-120b or PaddleOCR VL cheaper?

The current cheapest TrustedRouter route is $0.211/1M for OpenAI: gpt-oss-120b and $0.0422/1M for PaddleOCR VL. The comparison uses current catalog prices and updates as provider pricing changes.

Is OpenAI: gpt-oss-120b or PaddleOCR VL faster?

Current measured p50 time to first token is 455 ms for OpenAI: gpt-oss-120b and not enough data for PaddleOCR VL. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test OpenAI: gpt-oss-120b and PaddleOCR VL with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between openai/gpt-oss-120b and paddlepaddle/paddleocr-vl. This makes side-by-side evals possible without maintaining two provider integrations.