ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Qwen3 Max vs GLM-4.7

GLM-4.7 comes out ahead, 56 to 50 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
    Full specs Remove Qwen3 Max
  2. Our pick

    Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    56/100
    • ECI143.5
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.7 is our pick

GLM-4.7 is the better all-round choice, scoring 56/100 against Qwen3 Max (50). It leads on price and inputs & features. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-4.7Capabilities Index (ECI): GLM-4.7 143.5 · Qwen3 Max 142.4
  • Lowest priceGLM-4.7GLM-4.7 $1.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextQwen3 MaxQwen3 Max 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsSame inputsQwen3 Max: Text · GLM-4.7: Text
  • Self-hostingGLM-4.7Publishes downloadable weights
How the score is built
MeasureWeightQwen3 MaxGLM-4.7
CapabilityCapabilities Index (ECI)50%6870
Price25%3250
Inputs & features15%2535
Context window10%3732
Overall100%50/10056/100
02 — Side by side

Every spec in one table

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

Qwen3 Max vs GLM-4.7 specifications side by side
SpecificationQwen3 MaxAlibaba (Qwen)GLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)142.4143.5 (best)
ECI rank#91 of 148#84 of 148 (best)
GPQA DiamondGraduate-level science questions72.6%83.3% (best)
FrontierMath Tiers 1–3Research-level mathematics19.0%—
OTIS Mock AIME 2024–2025Competition mathematics73.3%83.3% (best)
SimpleQA VerifiedShort factual questions48.8% (best)32.2%
Price per million tokens
Input$1.20$0.60 (best)
Output$6.00$2.20 (best)
Cached input—$0.11
Blended (3:1)$2.40$1.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Z.AI API
Limits
Context window262,144 tokens (best)204,800 tokens
Max output65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model IDqwen3-maxglm-4.7
API providers1620 (best)
ReleasedSep 23, 2025Dec 22, 2025
Knowledge cutoffApr 2025Apr 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 Max$24.00
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

Which is better: Qwen3 Max or GLM-4.7?

GLM-4.7 is the better all-round choice, scoring 56/100 against Qwen3 Max (50). It leads on price and inputs & features. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 Max or GLM-4.7?

GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for GLM-4.7 versus $2.40 for Qwen3 Max (2.4× as much).

Which scores higher on benchmarks?

GLM-4.7 scores higher on the Capabilities Index (ECI): GLM-4.7 143.5 (#84 of 148) and Qwen3 Max 142.4 (#91 of 148). The confidence ranges of the top two overlap (141.3–145.6 vs 140.0–144.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Qwen3 Max 72.6%; OTIS Mock AIME 2024–2025 — GLM-4.7 83.3%, Qwen3 Max 73.3%; SimpleQA Verified — Qwen3 Max 48.8%, GLM-4.7 32.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Max and GLM-4.7 yet, so there is no like-for-like coding score. On overall capability, GLM-4.7 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?

Qwen3 Max has the largest context window at 262,144 tokens, against 204,800 for GLM-4.7. Maximum output per response: Qwen3 Max up to 65,536, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Max accepts text; GLM-4.7 accepts text. They handle the same number of input types.

Are any of these open source?

GLM-4.7 publishes its weights and can be self-hosted; Qwen3 Max is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Qwen3 Max Apr 2025, GLM-4.7 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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