ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.7 vs Qwen3.6 35B-A3B

Qwen3.6 35B-A3B comes out ahead, 68 to 56 on our weighted score, and it is the cheaper option too.

  1. 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
  2. Our pick

    Alibaba (Qwen)

    Qwen3.6 35B-A3B

    Released Apr 17, 2026

    68/100
    • ECI143.9
    • Price$0.248 / $1.49
    • Context262K
    Full specs Remove Qwen3.6 35B-A3B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3.6 35B-A3B is our pick

Qwen3.6 35B-A3B is the better all-round choice, scoring 68/100 against GLM-4.7 (56). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.6 35B-A3BCapabilities Index (ECI): Qwen3.6 35B-A3B 143.9 · GLM-4.7 143.5
  • Lowest priceQwen3.6 35B-A3BQwen3.6 35B-A3B $0.557 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3.6 35B-A3BQwen3.6 35B-A3B 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsQwen3.6 35B-A3BGLM-4.7: Text · Qwen3.6 35B-A3B: Text, Images, Audio, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7Qwen3.6 35B-A3B
CapabilityCapabilities Index (ECI)50%7070
Price25%5062
Inputs & features15%3590
Context window10%3237
Overall100%56/10068/100
02 — Side by side

Every spec in one table

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

GLM-4.7 vs Qwen3.6 35B-A3B specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Qwen3.6 35B-A3BAlibaba (Qwen)
Capability
Capabilities Index (ECI)143.5143.9 (best)
ECI rank#84 of 148#83 of 148 (best)
GPQA DiamondGraduate-level science questions83.3%84.9% (best)
FrontierMath Tiers 1–3Research-level mathematics—20.4%
OTIS Mock AIME 2024–2025Competition mathematics83.3%86.7% (best)
SimpleQA VerifiedShort factual questions32.2%—
Price per million tokens
Input$0.60$0.248 (best)
Output$2.20$1.49 (best)
Cached input$0.11—
Blended (3:1)$1.00$0.557 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Alibaba API
Limits
Context window204,800 tokens262,144 tokens (best)
Max output131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoYes
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model IDglm-4.7qwen3.6-35b-a3b
API providers2034 (best)
ReleasedDec 22, 2025Apr 17, 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.

  • GLM-4.7$10.40
  • Qwen3.6 35B-A3B$5.45
04 — Questions

Which should you choose?

Which is better: GLM-4.7 or Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B is the better all-round choice, scoring 68/100 against GLM-4.7 (56). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-4.7 or Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B is cheaper at $0.248 input / $1.49 output per million tokens (official Alibaba API price). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.557 per million tokens for Qwen3.6 35B-A3B versus $1.00 for GLM-4.7 (1.8× as much).

Which scores higher on benchmarks?

Qwen3.6 35B-A3B scores higher on the Capabilities Index (ECI): Qwen3.6 35B-A3B 143.9 (#83 of 148) and GLM-4.7 143.5 (#84 of 148). The confidence ranges of the top two overlap (141.2–146.0 vs 141.3–145.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 35B-A3B 84.9%, GLM-4.7 83.3%; OTIS Mock AIME 2024–2025 — Qwen3.6 35B-A3B 86.7%, GLM-4.7 83.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7 and Qwen3.6 35B-A3B yet, so there is no like-for-like coding score. On overall capability, Qwen3.6 35B-A3B 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?

Qwen3.6 35B-A3B has the largest context window at 262,144 tokens, against 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, Qwen3.6 35B-A3B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Qwen3.6 35B-A3B accepts text, images, audio and video. Qwen3.6 35B-A3B handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Qwen3.6 35B-A3B is the newest, released Apr 17, 2026. GLM-4.7 came out Dec 22, 2025. Knowledge cutoff: 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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