ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-4.7 vs Qwen3.5 35B-A3B vs Qwen3.6 27B

Too close to call on our weighted score (Qwen3.5 35B-A3B 66, Qwen3.6 27B 65, GLM-4.7 56). The right pick depends on what you value most.

  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. Alibaba (Qwen)

    Qwen3.5 35B-A3B

    Released Feb 23, 2026

    66/100
    • ECI142.5
    • Price$0.25 / $2.00
    • Context262K
    Full specs Remove Qwen3.5 35B-A3B

  3. Alibaba (Qwen)

    Qwen3.6 27B

    Released Apr 22, 2026

    65/100
    • ECI146.5
    • Price$0.60 / $3.60
    • Context262K
    Full specs Remove Qwen3.6 27B
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3.5 35B-A3B 66/100, Qwen3.6 27B 65/100, GLM-4.7 56/100), so choose by what matters most for your work: Qwen3.6 27B for raw capability and Qwen3.5 35B-A3B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.6 27BCapabilities Index (ECI): Qwen3.6 27B 146.5 · GLM-4.7 143.5 · Qwen3.5 35B-A3B 142.5
  • Lowest priceQwen3.5 35B-A3BQwen3.5 35B-A3B $0.688 · GLM-4.7 $1.00 · Qwen3.6 27B $1.35 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 35B-A3B and Qwen3.6 27BQwen3.5 35B-A3B 262,144 · Qwen3.6 27B 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsQwen3.5 35B-A3B and Qwen3.6 27BGLM-4.7: Text · Qwen3.5 35B-A3B: Text, Images, Audio, Video · Qwen3.6 27B: 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-4.7Qwen3.5 35B-A3BQwen3.6 27B
CapabilityCapabilities Index (ECI)50%706974
Price25%505844
Inputs & features15%359090
Context window10%323737
Overall100%56/10066/10065/100
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 Qwen3.5 35B-A3B vs Qwen3.6 27B specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Qwen3.5 35B-A3BAlibaba (Qwen)Qwen3.6 27BAlibaba (Qwen)
Capability
Capabilities Index (ECI)143.5142.5146.5 (best)
ECI rank#84 of 148#88 of 148#68 of 148 (best)
GPQA DiamondGraduate-level science questions83.3%83.5%85.9% (best)
FrontierMath Tiers 1–3Research-level mathematics——35.1%
OTIS Mock AIME 2024–2025Competition mathematics83.3%70.0%91.1% (best)
SimpleQA VerifiedShort factual questions32.2%——
Price per million tokens
Input$0.60$0.25 (best)$0.60
Output$2.20$2.00 (best)$3.60
Cached input$0.11——
Blended (3:1)$1.00$0.688 (best)$1.35
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Alibaba APIOfficial Alibaba API
Limits
Context window204,800 tokens262,144 tokens (best)262,144 tokens (best)
Max output131,072 tokens (best)65,536 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoYesYes
VideoNoYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenOpenOpen
API model IDglm-4.7qwen3.5-35b-a3bqwen3.6-27b
API providers201827 (best)
ReleasedDec 22, 2025Feb 23, 2026Apr 22, 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
  • Qwen3.5 35B-A3B$6.50
  • Qwen3.6 27B$13.20
04 — Questions

Which should you choose?

Which is better: GLM-4.7, Qwen3.5 35B-A3B or Qwen3.6 27B?

It is close. Our weighted score puts them within a point (Qwen3.5 35B-A3B 66/100, Qwen3.6 27B 65/100, GLM-4.7 56/100), so choose by what matters most for your work: Qwen3.6 27B for raw capability and Qwen3.5 35B-A3B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-4.7, Qwen3.5 35B-A3B or Qwen3.6 27B?

Qwen3.5 35B-A3B is cheaper at $0.25 input / $2.00 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); Qwen3.6 27B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for Qwen3.5 35B-A3B versus $1.00 for GLM-4.7 (1.5× as much) and $1.35 for Qwen3.6 27B (2× as much).

Which scores higher on benchmarks?

Qwen3.6 27B scores higher on the Capabilities Index (ECI): Qwen3.6 27B 146.5 (#68 of 148), GLM-4.7 143.5 (#84 of 148) and Qwen3.5 35B-A3B 142.5 (#88 of 148). The confidence ranges of the top two overlap (144.2–147.9 vs 141.3–145.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 27B 85.9%, Qwen3.5 35B-A3B 83.5%, GLM-4.7 83.3%; OTIS Mock AIME 2024–2025 — Qwen3.6 27B 91.1%, GLM-4.7 83.3%, Qwen3.5 35B-A3B 70.0%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Qwen3.5 35B-A3B and Qwen3.6 27B yet, so there is no like-for-like coding score. On overall capability, Qwen3.6 27B 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?

Qwen3.5 35B-A3B and Qwen3.6 27B have the largest context windows (262,144 and 262,144 tokens), against 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, Qwen3.5 35B-A3B up to 65,536, Qwen3.6 27B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Qwen3.5 35B-A3B accepts text, images, audio and video; Qwen3.6 27B accepts text, images, audio and video. Qwen3.5 35B-A3B handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Qwen3.6 27B is the newest, released Apr 22, 2026. Qwen3.5 35B-A3B came out Feb 23, 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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