ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M3 vs MiniMax-M2.7 vs Qwen3.7 Plus

Too close to call on our weighted score (Qwen3.7 Plus 70, MiniMax-M3 69, MiniMax-M2.7 61). The right pick depends on what you value most.

  1. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    69/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
    Full specs Remove MiniMax-M3

  2. MiniMax

    MiniMax-M2.7

    Released Mar 18, 2026

    61/100
    • ECI145.9
    • Price$0.30 / $1.20
    • Context205K
    Full specs Remove MiniMax-M2.7

  3. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    70/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, MiniMax-M2.7 61/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, MiniMax-M3 on price and MiniMax-M3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 PlusCapabilities Index (ECI): Qwen3.7 Plus 147.4 · MiniMax-M3 147.0 · MiniMax-M2.7 145.9
  • Lowest priceMiniMax-M3 and MiniMax-M2.7MiniMax-M3 $0.525 · MiniMax-M2.7 $0.525 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · MiniMax-M2.7 204,800 tokens
  • Widest inputsMiniMax-M3 and Qwen3.7 PlusMiniMax-M3: Text, Images, Video · MiniMax-M2.7: Text · Qwen3.7 Plus: Text, Images, Video
  • Self-hostingMiniMax-M3 and MiniMax-M2.7Publishes downloadable weights
How the score is built
MeasureWeightMiniMax-M3MiniMax-M2.7Qwen3.7 Plus
CapabilityCapabilities Index (ECI)50%747375
Price25%636357
Inputs & features15%703580
Context window10%613260
Overall100%69/10061/10070/100
02 — Side by side

Every spec in one table

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

MiniMax-M3 vs MiniMax-M2.7 vs Qwen3.7 Plus specifications side by side
SpecificationMiniMax-M3MiniMaxMiniMax-M2.7MiniMaxQwen3.7 PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)147.0145.9147.4 (best)
ECI rank#62 of 148#73 of 148#61 of 148 (best)
GPQA DiamondGraduate-level science questions90.9% (best)—87.9%
FrontierMath Tiers 1–3Research-level mathematics——34.4%
OTIS Mock AIME 2024–2025Competition mathematics71.1%—93.3% (best)
Price per million tokens
Input$0.30 (best)$0.30 (best)$0.40
Output$1.20 (best)$1.20 (best)$1.60
Cached input$0.06$0.06$0.04 (best)
Blended (3:1)$0.525 (best)$0.525 (best)$0.70
Long-context rateOver 512K: $0.60 / $2.40Same rateOver 256K: $1.20 / $4.80
Price sourceOfficial MiniMax (minimax.io) APIOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window1,048,576 tokens (best)204,800 tokens1,000,000 tokens
Max output512,000 tokens (best)131,072 tokens64,000 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenProprietary
API model IDMiniMax-M3MiniMax-M2.7qwen3.7-plus
API providers42 (best)2925
ReleasedJun 1, 2026Mar 18, 2026Jun 2, 2026
Knowledge cutoff——Apr 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.

  • MiniMax-M3$5.40
  • MiniMax-M2.7$5.40
  • Qwen3.7 Plus$7.20
04 — Questions

Which should you choose?

Which is better: MiniMax-M3, MiniMax-M2.7 or Qwen3.7 Plus?

It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, MiniMax-M2.7 61/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, MiniMax-M3 on price and MiniMax-M3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, MiniMax-M3, MiniMax-M2.7 or Qwen3.7 Plus?

MiniMax-M3 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). MiniMax-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price); Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M3 versus $0.525 for MiniMax-M2.7 (1× as much) and $0.70 for Qwen3.7 Plus (1.3× as much).

Which scores higher on benchmarks?

Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148), MiniMax-M3 147.0 (#62 of 148) and MiniMax-M2.7 145.9 (#73 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 142.7–149.8), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M3, MiniMax-M2.7 and Qwen3.7 Plus yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

MiniMax-M3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Plus and 204,800 for MiniMax-M2.7. Maximum output per response: MiniMax-M3 up to 512,000, MiniMax-M2.7 up to 131,072, Qwen3.7 Plus up to 64,000 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M3 accepts text, images and video; MiniMax-M2.7 accepts text; Qwen3.7 Plus accepts text, images and video. MiniMax-M3 handles the widest range of inputs.

Are any of these open source?

MiniMax-M3 and MiniMax-M2.7 publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.

Which is newer?

Qwen3.7 Plus is the newest, released Jun 2, 2026. MiniMax-M3 came out Jun 1, 2026; MiniMax-M2.7 came out Mar 18, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 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 Oct 4, 2026.

05 — Keep comparing

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