ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Nemotron 3.5 Lightning 30B A3B vs MiniMax-M3.1-Flash vs Ling 3.0 Flash

Too close to call on our weighted score (MiniMax-M3.1-Flash 70, Nemotron 3.5 Lightning 30B A3B 68, Ling 3.0 Flash 65). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron 3.5 Lightning 30B A3B

    Released Aug 11, 2026

    68/100
    • ECI—
    • Price$0.055 / $0.20
    • Context262K
  2. MiniMax

    MiniMax-M3.1-Flash

    Released Oct 19, 2026New

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

    Ling 3.0 Flash

    Released Jul 23, 2026

    65/100
    • ECI—
    • Price$0.06 / $0.18
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (MiniMax-M3.1-Flash 70/100, Nemotron 3.5 Lightning 30B A3B 68/100, Ling 3.0 Flash 65/100), so choose by what matters most for your work: Ling 3.0 Flash on price and MiniMax-M3.1-Flash 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 Lightning 30B A3B $0.091 · MiniMax-M3.1-Flash $0.263 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3.1-FlashMiniMax-M3.1-Flash 1,000,000 · Nemotron 3.5 Lightning 30B A3B 262,144 · Ling 3.0 Flash 262,144 tokens
  • Widest inputsMiniMax-M3.1-FlashNemotron 3.5 Lightning 30B A3B: Text · MiniMax-M3.1-Flash: Text, Images, Video · Ling 3.0 Flash: Text
  • Self-hostingNemotron 3.5 Lightning 30B A3B and Ling 3.0 FlashPublishes downloadable weights (MIT)
How the score is built
MeasureWeightNemotron 3.5 Lightning 30B A3BMiniMax-M3.1-FlashLing 3.0 Flash
Price50%957495
Inputs & features30%457035
Context window20%376037
Overall100%68/10070/10065/100

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 Lightning 30B A3B vs MiniMax-M3.1-Flash vs Ling 3.0 Flash specifications side by side
SpecificationNemotron 3.5 Lightning 30B A3BNVIDIAMiniMax-M3.1-FlashMiniMaxLing 3.0 FlashinclusionAI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.055 (best)$0.15$0.06
Output$0.20$0.60$0.18 (best)
Cached input—$0.015—
Blended (3:1)$0.091$0.263$0.09 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 10 providersOfficial MiniMax (minimax.io) APIMedian of 7 providers
Limits
Context window262,144 tokens1,000,000 tokens (best)262,144 tokens
Max output262,144 tokens512,000 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningYesYeslow · medium · high · xhigh · maxYes
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsOpenProprietaryOpenMIT
API model IDnvidia/nemotron-3.5-lightning-30b-a3bMiniMax-M3.1-Flash—
API providers1525 (best)9
ReleasedAug 11, 2026Oct 19, 2026Jul 23, 2026
Knowledge cutoffSep 2025——
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 Lightning 30B A3B$0.95
  • MiniMax-M3.1-Flash$2.70
  • Ling 3.0 Flash$0.96
04 — Questions

Which should you choose?

Which is better: Nemotron 3.5 Lightning 30B A3B, MiniMax-M3.1-Flash or Ling 3.0 Flash?

It is close. Our weighted score puts them within 2 points (MiniMax-M3.1-Flash 70/100, Nemotron 3.5 Lightning 30B A3B 68/100, Ling 3.0 Flash 65/100), so choose by what matters most for your work: Ling 3.0 Flash on price and MiniMax-M3.1-Flash 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 Lightning 30B A3B, MiniMax-M3.1-Flash or Ling 3.0 Flash?

Ling 3.0 Flash is cheaper at $0.06 input / $0.18 output per million tokens (median across 7 API providers). Nemotron 3.5 Lightning 30B A3B costs $0.055 input / $0.20 output per million tokens (median across 10 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 $0.091 for Nemotron 3.5 Lightning 30B A3B (1× 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. Nemotron 3.5 Lightning 30B A3B has not been scored yet, MiniMax-M3.1-Flash has not been scored yet and Ling 3.0 Flash has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3.5 Lightning 30B A3B, MiniMax-M3.1-Flash and Ling 3.0 Flash 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?

MiniMax-M3.1-Flash has the largest context window at 1,000,000 tokens, against 262,144 for Nemotron 3.5 Lightning 30B A3B and 262,144 for Ling 3.0 Flash. Maximum output per response: Nemotron 3.5 Lightning 30B A3B up to 262,144, MiniMax-M3.1-Flash up to 512,000, Ling 3.0 Flash up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3.5 Lightning 30B A3B accepts text; MiniMax-M3.1-Flash accepts text, images and video; Ling 3.0 Flash accepts text. MiniMax-M3.1-Flash handles the widest range of inputs.

Are any of these open source?

Nemotron 3.5 Lightning 30B A3B and Ling 3.0 Flash 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 Lightning 30B A3B came out Aug 11, 2026; Ling 3.0 Flash came out Jul 23, 2026. Knowledge cutoff: Nemotron 3.5 Lightning 30B A3B Sep 2025.

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.