Bring your own key

MiniMax: MiniMax M3 vs PaddleOCR VL

One key routes both. Starter credit covers your first MiniMax M3 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

MiniMax: MiniMax M3 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.

$1.25545/1MMiniMax: MiniMax M3 cheapest route

$0.0422/1MPaddleOCR VL cheapest route

1527 msMiniMax: MiniMax M3 fastest measured p50 TTFT via sambanova

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.

MiniMax: MiniMax M3PaddleOCR VL

Model idminimax/minimax-m3paddlepaddle/paddleocr-vl

Publisher MiniMax Baidu AI Cloud Qianfan

AI IQ IQ 114#61 —

Context1,048,576 tokens16,384 tokens

Credits provider routes150

Cheapest route$1.25545/1M$0.0422/1M

Cached input$0.05275/1M to $0.2532/1MNot published

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1527 ms via sambanovanot enough data

Highest measured throughput104 tok/s via atlas-cloudnot enough data

Recent route uptime range0.00% to 100.00%not enough data

Modes chat chat

MiniMax: MiniMax M3 routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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="minimax/minimax-m3",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M3 or PaddleOCR VL?

Is MiniMax: MiniMax M3 or PaddleOCR VL cheaper?

The current cheapest TrustedRouter route is $1.25545/1M for MiniMax: MiniMax M3 and $0.0422/1M for PaddleOCR VL. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M3 or PaddleOCR VL faster?

Current measured p50 time to first token is 1527 ms for MiniMax: MiniMax M3 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 MiniMax: MiniMax M3 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 minimax/minimax-m3 and paddlepaddle/paddleocr-vl. This makes side-by-side evals possible without maintaining two provider integrations.