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Comparison · 2 models · Updated Oct 4, 2026

Qwen3.7 Plus vs MiniMax-M3

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

  1. 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

  2. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

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

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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), 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
  • Lowest priceMiniMax-M3MiniMax-M3 $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 tokens
  • Widest inputsSame inputsQwen3.7 Plus: Text, Images, Video · MiniMax-M3: Text, Images, Video
  • Self-hostingMiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 PlusMiniMax-M3
CapabilityCapabilities Index (ECI)50%7574
Price25%5763
Inputs & features15%8070
Context window10%6061
Overall100%70/10069/100
02 — Side by side

Every spec in one table

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

Qwen3.7 Plus vs MiniMax-M3 specifications side by side
SpecificationQwen3.7 PlusAlibaba (Qwen)MiniMax-M3MiniMax
Capability
Capabilities Index (ECI)147.4 (best)147.0
ECI rank#61 of 148 (best)#62 of 148
GPQA DiamondGraduate-level science questions87.9%90.9% (best)
FrontierMath Tiers 1–3Research-level mathematics34.4%—
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)71.1%
Price per million tokens
Input$0.40$0.30 (best)
Output$1.60$1.20 (best)
Cached input$0.04 (best)$0.06
Blended (3:1)$0.70$0.525 (best)
Long-context rateOver 256K: $1.20 / $4.80Over 512K: $0.60 / $2.40
Price sourceOfficial Alibaba APIOfficial MiniMax (minimax.io) API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)
Max output64,000 tokens512,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDqwen3.7-plusMiniMax-M3
API providers2542 (best)
ReleasedJun 2, 2026Jun 1, 2026
Knowledge cutoffApr 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.

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

Which should you choose?

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

It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100), 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, Qwen3.7 Plus or MiniMax-M3?

MiniMax-M3 is cheaper at $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 $0.70 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) and MiniMax-M3 147.0 (#62 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. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, Qwen3.7 Plus 87.9%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, MiniMax-M3 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Plus and MiniMax-M3 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. Both 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. Maximum output per response: Qwen3.7 Plus up to 64,000, MiniMax-M3 up to 512,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Plus accepts text, images and video; MiniMax-M3 accepts text, images and video. They handle the same number of input types.

Are any of these open source?

MiniMax-M3 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. 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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