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Comparison · 2 models · Updated Nov 2, 2026

Nemotron 3.5 Super VL 120B A12B vs MiniMax-M3.1-Flash

Too close to call on our weighted score (Nemotron 3.5 Super VL 120B A12B 71, MiniMax-M3.1-Flash 70). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron 3.5 Super VL 120B A12B

    Released Oct 15, 2026New

    71/100
    • ECI—
    • Price$0.15 / $0.50
    • Context1.05M
    Full specs Remove Nemotron 3.5 Super VL 120B A12B

  2. MiniMax

    MiniMax-M3.1-Flash

    Released Oct 19, 2026New

    70/100
    • ECI—
    • Price$0.15 / $0.60
    • Context1M
    Full specs Remove MiniMax-M3.1-Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Nemotron 3.5 Super VL 120B A12B 71/100, MiniMax-M3.1-Flash 70/100), so choose by what matters most for your work: Nemotron 3.5 Super VL 120B A12B on price and Nemotron 3.5 Super VL 120B A12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B $0.237 · MiniMax-M3.1-Flash $0.263 per 1M tokens (3:1 blend)
  • Longest contextNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B 1,048,576 · MiniMax-M3.1-Flash 1,000,000 tokens
  • Widest inputsSame inputsNemotron 3.5 Super VL 120B A12B: Text, Images, Video · MiniMax-M3.1-Flash: Text, Images, Video
  • Self-hostingNemotron 3.5 Super VL 120B A12BPublishes downloadable weights
How the score is built
MeasureWeightNemotron 3.5 Super VL 120B A12BMiniMax-M3.1-Flash
Price50%7674
Inputs & features30%7070
Context window20%6160
Overall100%71/10070/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Nemotron 3.5 Super VL 120B A12B vs MiniMax-M3.1-Flash specifications side by side
SpecificationNemotron 3.5 Super VL 120B A12BNVIDIAMiniMax-M3.1-FlashMiniMax
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.15$0.15
Output$0.50 (best)$0.60
Cached input—$0.015
Blended (3:1)$0.237 (best)$0.263
Long-context rateSame rateSame rate
Price sourceMedian of 11 providersOfficial MiniMax (minimax.io) API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output8,192 tokens512,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesYes
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDnvidia/nemotron-3.5-super-vl-120b-a12bMiniMax-M3.1-Flash
API providers1325 (best)
ReleasedOct 15, 2026Oct 19, 2026
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Nemotron 3.5 Super VL 120B A12B$2.50
  • MiniMax-M3.1-Flash$2.70
04 — Questions

Which should you choose?

Which is better: Nemotron 3.5 Super VL 120B A12B or MiniMax-M3.1-Flash?

It is close. Our weighted score puts them within 1 points (Nemotron 3.5 Super VL 120B A12B 71/100, MiniMax-M3.1-Flash 70/100), so choose by what matters most for your work: Nemotron 3.5 Super VL 120B A12B on price and Nemotron 3.5 Super VL 120B A12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Nemotron 3.5 Super VL 120B A12B or MiniMax-M3.1-Flash?

Nemotron 3.5 Super VL 120B A12B is cheaper at $0.15 input / $0.50 output per million tokens (median across 11 API providers; free on Nvidia). MiniMax-M3.1-Flash costs $0.15 input / $0.60 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.237 per million tokens for Nemotron 3.5 Super VL 120B A12B versus $0.263 for MiniMax-M3.1-Flash (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron 3.5 Super VL 120B A12B has not been scored yet and MiniMax-M3.1-Flash has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3.5 Super VL 120B A12B and MiniMax-M3.1-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Nemotron 3.5 Super VL 120B A12B has the largest context window at 1,048,576 tokens, against 1,000,000 for MiniMax-M3.1-Flash. Maximum output per response: Nemotron 3.5 Super VL 120B A12B up to 8,192, MiniMax-M3.1-Flash up to 512,000 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3.5 Super VL 120B A12B accepts text, images and video; MiniMax-M3.1-Flash accepts text, images and video. They handle the same number of input types.

Are any of these open source?

Nemotron 3.5 Super VL 120B A12B publishes its weights and can be self-hosted; MiniMax-M3.1-Flash is proprietary.

Which is newer?

MiniMax-M3.1-Flash is the newest, released Oct 19, 2026. Nemotron 3.5 Super VL 120B A12B came out Oct 15, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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