ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-5.3-Flash vs MiniMax-M3 vs Qwen3.7 Plus

GLM-5.3-Flash comes out ahead, 80 to 70 and 69 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Z.ai (Zhipu)

    GLM-5.3-Flash

    Released Aug 26, 2026

    80/100
    • ECI151.9
    • Price$0.15 / $0.50
    • Context1M
  2. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    69/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
  3. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    70/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
01 — Verdict

GLM-5.3-Flash is our pick

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Qwen3.7 Plus (70) and MiniMax-M3 (69). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.3-FlashCapabilities Index (ECI): GLM-5.3-Flash 151.9 · Qwen3.7 Plus 147.4 · MiniMax-M3 147.0
  • Lowest priceGLM-5.3-FlashGLM-5.3-Flash $0.237 · MiniMax-M3 $0.525 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3MiniMax-M3 1,048,576 · GLM-5.3-Flash 1,000,000 · Qwen3.7 Plus 1,000,000 tokens
  • Widest inputsGLM-5.3-FlashGLM-5.3-Flash: Text, Images, PDFs, Video · MiniMax-M3: Text, Images, Video · Qwen3.7 Plus: Text, Images, Video
  • Self-hostingGLM-5.3-Flash and MiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightGLM-5.3-FlashMiniMax-M3Qwen3.7 Plus
CapabilityCapabilities Index (ECI)50%817475
Price25%796357
Inputs & features15%907080
Context window10%606160
Overall100%80/10069/10070/100
02 — Side by side

Every spec in one table

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

GLM-5.3-Flash vs MiniMax-M3 vs Qwen3.7 Plus specifications side by side
SpecificationGLM-5.3-FlashZ.ai (Zhipu)MiniMax-M3MiniMaxQwen3.7 PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)151.9 (best)147.0147.4
ECI rank#42 of 148 (best)#62 of 148#61 of 148
GPQA DiamondGraduate-level science questions90.2%90.9% (best)87.9%
FrontierMath Tiers 1–3Research-level mathematics55.8% (best)—34.4%
OTIS Mock AIME 2024–2025Competition mathematics93.9% (best)71.1%93.3%
Price per million tokens
Input$0.15 (best)$0.30$0.40
Output$0.50 (best)$1.20$1.60
Cached input$0.03 (best)$0.06$0.04
Blended (3:1)$0.237 (best)$0.525$0.70
Long-context rateSame rateOver 512K: $0.60 / $2.40Over 256K: $1.20 / $4.80
Price sourceOfficial Z.AI APIOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens512,000 tokens (best)64,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoNo
AudioNoNoNo
VideoYesYesYes
ReasoningYeslow · high · maxYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsOpenOpenProprietary
API model IDglm-5.3-flashMiniMax-M3qwen3.7-plus
API providers65 (best)4225
ReleasedAug 26, 2026Jun 1, 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.

  • GLM-5.3-Flash$2.50
  • MiniMax-M3$5.40
  • Qwen3.7 Plus$7.20
04 — Questions

Which should you choose?

Which is better: GLM-5.3-Flash, MiniMax-M3 or Qwen3.7 Plus?

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Qwen3.7 Plus (70) and MiniMax-M3 (69). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5.3-Flash, MiniMax-M3 or Qwen3.7 Plus?

GLM-5.3-Flash is cheaper at $0.15 input / $0.50 output per million tokens (official Z.AI API price). MiniMax-M3 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 $0.237 per million tokens for GLM-5.3-Flash versus $0.525 for MiniMax-M3 (2.2× as much) and $0.70 for Qwen3.7 Plus (2.9× as much).

Which scores higher on benchmarks?

GLM-5.3-Flash scores higher on the Capabilities Index (ECI): GLM-5.3-Flash 151.9 (#42 of 148), Qwen3.7 Plus 147.4 (#61 of 148) and MiniMax-M3 147.0 (#62 of 148). Their confidence ranges do not overlap (149.4–154.3 vs 145.7–148.9), so the gap is a real one. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, GLM-5.3-Flash 90.2%, Qwen3.7 Plus 87.9%; OTIS Mock AIME 2024–2025 — GLM-5.3-Flash 93.9%, Qwen3.7 Plus 93.3%, MiniMax-M3 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-5.3-Flash, MiniMax-M3 and Qwen3.7 Plus yet, so there is no like-for-like coding score. On overall capability, GLM-5.3-Flash 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 GLM-5.3-Flash and 1,000,000 for Qwen3.7 Plus. Maximum output per response: GLM-5.3-Flash up to 131,072, MiniMax-M3 up to 512,000, Qwen3.7 Plus up to 64,000 tokens.

Which can read images, PDFs, audio or video?

GLM-5.3-Flash accepts text, images, PDFs and video; MiniMax-M3 accepts text, images and video; Qwen3.7 Plus accepts text, images and video. GLM-5.3-Flash handles the widest range of inputs.

Are any of these open source?

GLM-5.3-Flash and MiniMax-M3 publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.

Which is newer?

GLM-5.3-Flash is the newest, released Aug 26, 2026. Qwen3.7 Plus came out 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.