ZMIME
Comparison · 2 models · Updated Oct 4, 2026

MiniMax-M3 vs Qwen3.7 Max

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

  1. 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

  2. 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

  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-M3MiniMax-M3: Text, Images, Video · Qwen3.7 Max: Text
  • Self-hostingMiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightMiniMax-M3Qwen3.7 Max
CapabilityCapabilities Index (ECI)50%7483
Price25%6323
Inputs & features15%7035
Context window10%6160
Overall100%69/10058/100
02 — Side by side

Every spec in one table

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

MiniMax-M3 vs Qwen3.7 Max specifications side by side
SpecificationMiniMax-M3MiniMaxQwen3.7 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)147.0153.7 (best)
ECI rank#62 of 148#37 of 148 (best)
GPQA DiamondGraduate-level science questions90.9%90.9%
FrontierMath Tiers 1–3Research-level mathematics—64.6%
OTIS Mock AIME 2024–2025Competition mathematics71.1%95.6% (best)
SWE-bench VerifiedFixing real GitHub issues—77.3%
SimpleQA VerifiedShort factual questions—55.8%
Price per million tokens
Input$0.30 (best)$2.50
Output$1.20 (best)$7.50
Cached input$0.06 (best)$0.50
Blended (3:1)$0.525 (best)$3.75
Long-context rateOver 512K: $0.60 / $2.40Same rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output512,000 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoYesNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDMiniMax-M3qwen3.7-max
API providers42 (best)26
ReleasedJun 1, 2026May 21, 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.

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

Which should you choose?

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

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, MiniMax-M3 or Qwen3.7 Max?

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 — MiniMax-M3 90.9%, Qwen3.7 Max 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: MiniMax-M3 up to 512,000, Qwen3.7 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M3 accepts text, images and video; Qwen3.7 Max accepts text. 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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