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MiniMax: MiniMax M3 vs nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16

One key routes both. Starter credit covers your first MiniMax M3 requests, while nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 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
$0.633/1Mnvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 cheapest route
958 msMiniMax: MiniMax M3 fastest measured p50 TTFT via telnyx
not enough datanvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 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 M3nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16
Model idminimax/minimax-m3nvidia/nemotron-3.5-super-vl-120b-a12b-bf16
Publisher MiniMax NVIDIA
AI IQ IQ 114#61 —
Context1,048,576 tokens32,768 tokens
Credits provider routes150
Cheapest route$1.25545/1M$0.633/1M
Cached input$0.05275/1M to $0.2532/1MNot published
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT958 ms via telnyxnot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range50.00% to 100.00%not enough data
Modes chat chat

MiniMax: MiniMax M3 routes

nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 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 nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16?

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.

Is MiniMax: MiniMax M3 or nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 cheaper?

The current cheapest TrustedRouter route is $1.25545/1M for MiniMax: MiniMax M3 and $0.633/1M for nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M3 or nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 faster?

Current measured p50 time to first token is 958 ms for MiniMax: MiniMax M3 and not enough data for nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M3 and nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 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 nvidia/nemotron-3.5-super-vl-120b-a12b-bf16. This makes side-by-side evals possible without maintaining two provider integrations.

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