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Comparison · 3 models · Updated Nov 2, 2026

Ling 3.1 Flash vs MiniMax-M3.1-Flash-Preview vs Perceptron Mk1.5

MiniMax-M3.1-Flash-Preview comes out ahead, 66 to 49 and 36 on our weighted score.

  1. inclusionAI

    Ling 3.1 Flash

    Released Sep 29, 2026New

    36/100
    • ECI—
    • Price$0.30 / $0.90
    • Context262K
    Full specs Remove Ling 3.1 Flash
  2. Our pick

    MiniMax

    MiniMax-M3.1-Flash-Preview

    Released Sep 27, 2026New

    66/100
    • ECI—
    • Price—
    • Context1M
    Full specs Remove MiniMax-M3.1-Flash-Preview

  3. Perceptron

    Perceptron Mk1.5

    Released Sep 25, 2026New

    49/100
    • ECI—
    • Price$0.154 / $1.54
    • Context37K
    Full specs Remove Perceptron Mk1.5
01 — Verdict

MiniMax-M3.1-Flash-Preview is our pick

MiniMax-M3.1-Flash-Preview is the better all-round choice, scoring 66/100 against Perceptron Mk1.5 (49) and Ling 3.1 Flash (36). It leads on context window. Perceptron Mk1.5 wins on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 3.1 FlashLing 3.1 Flash $0.45 · Perceptron Mk1.5 $0.502 per 1M tokens (3:1 blend) · MiniMax-M3.1-Flash-Preview unpriced
  • Longest contextMiniMax-M3.1-Flash-PreviewMiniMax-M3.1-Flash-Preview 1,000,000 · Ling 3.1 Flash 262,144 · Perceptron Mk1.5 36,864 tokens
  • Widest inputsPerceptron Mk1.5Ling 3.1 Flash: Text · MiniMax-M3.1-Flash-Preview: Text, Images, Video · Perceptron Mk1.5: Text, Images, Audio, Video
  • Self-hostingLing 3.1 FlashPublishes downloadable weights
How the score is built
MeasureWeightLing 3.1 FlashMiniMax-M3.1-Flash-PreviewPerceptron Mk1.5
Inputs & features60%357080
Context window40%37602
Overall100%36/10066/10049/100

Left out because at least one model lacks the data: capability and price. 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 3.1 Flash vs MiniMax-M3.1-Flash-Preview vs Perceptron Mk1.5 specifications side by side
SpecificationLing 3.1 FlashinclusionAIMiniMax-M3.1-Flash-PreviewMiniMaxPerceptron Mk1.5Perceptron
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.30—$0.154 (best)
Output$0.90 (best)—$1.54
Cached input———
Blended (3:1)$0.45 (best)—$0.502
Long-context rateSame rate—Same rate
Price sourceMedian of 5 providers—Median of 2 providers
Limits
Context window262,144 tokens1,000,000 tokens (best)36,864 tokens
Max output32,768 tokens512,000 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoYes
VideoNoYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryProprietary
API model ID———
API providers7 (best)—2
ReleasedSep 29, 2026Sep 27, 2026Sep 25, 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 3.1 Flash$4.80
  • MiniMax-M3.1-Flash-Preview—
  • Perceptron Mk1.5$4.63
04 — Questions

Which should you choose?

Which is better: Ling 3.1 Flash, MiniMax-M3.1-Flash-Preview or Perceptron Mk1.5?

MiniMax-M3.1-Flash-Preview is the better all-round choice, scoring 66/100 against Perceptron Mk1.5 (49) and Ling 3.1 Flash (36). It leads on context window. Perceptron Mk1.5 wins on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Ling 3.1 Flash, MiniMax-M3.1-Flash-Preview or Perceptron Mk1.5?

Ling 3.1 Flash is cheaper at $0.30 input / $0.90 output per million tokens (median across 5 API providers). Perceptron Mk1.5 costs $0.154 input / $1.54 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Ling 3.1 Flash versus $0.502 for Perceptron Mk1.5 (1.1× as much). MiniMax-M3.1-Flash-Preview has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Ling 3.1 Flash has not been scored yet, MiniMax-M3.1-Flash-Preview has not been scored yet and Perceptron Mk1.5 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Ling 3.1 Flash, MiniMax-M3.1-Flash-Preview and Perceptron Mk1.5 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-Preview has the largest context window at 1,000,000 tokens, against 262,144 for Ling 3.1 Flash and 36,864 for Perceptron Mk1.5. Maximum output per response: Ling 3.1 Flash up to 32,768, MiniMax-M3.1-Flash-Preview up to 512,000, Perceptron Mk1.5 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Ling 3.1 Flash accepts text; MiniMax-M3.1-Flash-Preview accepts text, images and video; Perceptron Mk1.5 accepts text, images, audio and video. Perceptron Mk1.5 handles the widest range of inputs.

Are any of these open source?

Ling 3.1 Flash publishes its weights and can be self-hosted; MiniMax-M3.1-Flash-Preview and Perceptron Mk1.5 is proprietary.

Which is newer?

Ling 3.1 Flash is the newest, released Sep 29, 2026. MiniMax-M3.1-Flash-Preview came out Sep 27, 2026; Perceptron Mk1.5 came out Sep 25, 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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