ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Ling 3.0 Flash vs MiniMax-M3.1-Flash vs Nemotron 3.5 Super VL 120B A12B

Too close to call on our weighted score (Nemotron 3.5 Super VL 120B A12B 71, MiniMax-M3.1-Flash 70, Ling 3.0 Flash 65). The right pick depends on what you value most.

  1. inclusionAI

    Ling 3.0 Flash

    Released Jul 23, 2026

    65/100
    • ECI—
    • Price$0.06 / $0.18
    • Context262K
  2. MiniMax

    MiniMax-M3.1-Flash

    Released Oct 19, 2026New

    70/100
    • ECI—
    • Price$0.15 / $0.60
    • Context1M
  3. NVIDIA

    Nemotron 3.5 Super VL 120B A12B

    Released Oct 15, 2026New

    71/100
    • ECI—
    • Price$0.15 / $0.50
    • Context1.05M
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, Ling 3.0 Flash 65/100), so choose by what matters most for your work: Ling 3.0 Flash 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 priceLing 3.0 FlashLing 3.0 Flash $0.09 · Nemotron 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 · Ling 3.0 Flash 262,144 tokens
  • Widest inputsMiniMax-M3.1-Flash and Nemotron 3.5 Super VL 120B A12BLing 3.0 Flash: Text · MiniMax-M3.1-Flash: Text, Images, Video · Nemotron 3.5 Super VL 120B A12B: Text, Images, Video
  • Self-hostingLing 3.0 Flash and Nemotron 3.5 Super VL 120B A12BPublishes downloadable weights (MIT)
How the score is built
MeasureWeightLing 3.0 FlashMiniMax-M3.1-FlashNemotron 3.5 Super VL 120B A12B
Price50%957476
Inputs & features30%357070
Context window20%376061
Overall100%65/10070/10071/100

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.

Ling 3.0 Flash vs MiniMax-M3.1-Flash vs Nemotron 3.5 Super VL 120B A12B specifications side by side
SpecificationLing 3.0 FlashinclusionAIMiniMax-M3.1-FlashMiniMaxNemotron 3.5 Super VL 120B A12BNVIDIA
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.06 (best)$0.15$0.15
Output$0.18 (best)$0.60$0.50
Cached input—$0.015—
Blended (3:1)$0.09 (best)$0.263$0.237
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 7 providersOfficial MiniMax (minimax.io) APIMedian of 11 providers
Limits
Context window262,144 tokens1,000,000 tokens1,048,576 tokens (best)
Max output32,768 tokens512,000 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoYesYes
ReasoningYesYeslow · medium · high · xhigh · maxYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenMITProprietaryOpen
API model ID—MiniMax-M3.1-Flashnvidia/nemotron-3.5-super-vl-120b-a12b
API providers925 (best)13
ReleasedJul 23, 2026Oct 19, 2026Oct 15, 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.

  • Ling 3.0 Flash$0.96
  • MiniMax-M3.1-Flash$2.70
  • Nemotron 3.5 Super VL 120B A12B$2.50
04 — Questions

Which should you choose?

Which is better: Ling 3.0 Flash, MiniMax-M3.1-Flash or Nemotron 3.5 Super VL 120B A12B?

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, Ling 3.0 Flash 65/100), so choose by what matters most for your work: Ling 3.0 Flash 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, Ling 3.0 Flash, MiniMax-M3.1-Flash or Nemotron 3.5 Super VL 120B A12B?

Ling 3.0 Flash is cheaper at $0.06 input / $0.18 output per million tokens (median across 7 API providers). Nemotron 3.5 Super VL 120B A12B costs $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 $0.09 per million tokens for Ling 3.0 Flash versus $0.237 for Nemotron 3.5 Super VL 120B A12B (2.6× as much) and $0.263 for MiniMax-M3.1-Flash (2.9× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Ling 3.0 Flash has not been scored yet, MiniMax-M3.1-Flash has not been scored yet and Nemotron 3.5 Super VL 120B A12B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Ling 3.0 Flash, MiniMax-M3.1-Flash and Nemotron 3.5 Super VL 120B A12B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three 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 and 262,144 for Ling 3.0 Flash. Maximum output per response: Ling 3.0 Flash up to 32,768, MiniMax-M3.1-Flash up to 512,000, Nemotron 3.5 Super VL 120B A12B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Ling 3.0 Flash accepts text; MiniMax-M3.1-Flash accepts text, images and video; Nemotron 3.5 Super VL 120B A12B accepts text, images and video. MiniMax-M3.1-Flash handles the widest range of inputs.

Are any of these open source?

Ling 3.0 Flash and Nemotron 3.5 Super VL 120B A12B publishes its weights (MIT) 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; Ling 3.0 Flash came out Jul 23, 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.