ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Qwen3.7 Max vs MiniMax-M3

MiniMax-M3 comes out ahead, 69 to 58 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
    Full specs Remove Qwen3.7 Max
  2. Our pick

    MiniMax

    MiniMax-M3

    Released Jun 1, 2026

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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

MiniMax-M3 is our pick

MiniMax-M3 is the better all-round choice, scoring 69/100 against Qwen3.7 Max (58). It leads on price and inputs & features. Qwen3.7 Max wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 MaxCapabilities Index (ECI): Qwen3.7 Max 153.7 · MiniMax-M3 147.0
  • Lowest priceMiniMax-M3MiniMax-M3 $0.525 · Qwen3.7 Max $3.75 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Max 1,000,000 tokens
  • Widest inputsMiniMax-M3Qwen3.7 Max: Text · MiniMax-M3: Text, Images, Video
  • Self-hostingMiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 MaxMiniMax-M3
CapabilityCapabilities Index (ECI)50%8374
Price25%2363
Inputs & features15%3570
Context window10%6061
Overall100%58/10069/100
02 — Side by side

Every spec in one table

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

Qwen3.7 Max vs MiniMax-M3 specifications side by side
SpecificationQwen3.7 MaxAlibaba (Qwen)MiniMax-M3MiniMax
Capability
Capabilities Index (ECI)153.7 (best)147.0
ECI rank#37 of 148 (best)#62 of 148
GPQA DiamondGraduate-level science questions90.9%90.9%
FrontierMath Tiers 1–3Research-level mathematics64.6%—
OTIS Mock AIME 2024–2025Competition mathematics95.6% (best)71.1%
SWE-bench VerifiedFixing real GitHub issues77.3%—
SimpleQA VerifiedShort factual questions55.8%—
Price per million tokens
Input$2.50$0.30 (best)
Output$7.50$1.20 (best)
Cached input$0.50$0.06 (best)
Blended (3:1)$3.75$0.525 (best)
Long-context rateSame rateOver 512K: $0.60 / $2.40
Price sourceOfficial Alibaba APIOfficial MiniMax (minimax.io) API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)
Max output65,536 tokens512,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model IDqwen3.7-maxMiniMax-M3
API providers2642 (best)
ReleasedMay 21, 2026Jun 1, 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.

  • Qwen3.7 Max$40.00
  • MiniMax-M3$5.40
04 — Questions

Which should you choose?

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

MiniMax-M3 is the better all-round choice, scoring 69/100 against Qwen3.7 Max (58). It leads on price and inputs & features. Qwen3.7 Max wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Max 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 Max costs $2.50 input / $7.50 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 $3.75 for Qwen3.7 Max (7.1× as much).

Which scores higher on benchmarks?

Qwen3.7 Max scores higher on the Capabilities Index (ECI): Qwen3.7 Max 153.7 (#37 of 148) and MiniMax-M3 147.0 (#62 of 148). Their confidence ranges do not overlap (151.9–156.0 vs 142.7–149.8), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3.7 Max 90.9%, MiniMax-M3 90.9%; OTIS Mock AIME 2024–2025 — Qwen3.7 Max 95.6%, MiniMax-M3 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M3 yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Max 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 Max. Maximum output per response: Qwen3.7 Max up to 65,536, MiniMax-M3 up to 512,000 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

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

Which is newer?

MiniMax-M3 is the newest, released Jun 1, 2026. Qwen3.7 Max came out May 21, 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 Oct 4, 2026.

05 — Keep comparing

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