ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.5 35B-A3B vs Qwen3.5 Plus vs GLM-4.7

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

  1. Alibaba (Qwen)

    Qwen3.5 35B-A3B

    Released Feb 23, 2026

    66/100
    • ECI142.5
    • Price$0.25 / $2.00
    • Context262K
  2. Alibaba (Qwen)

    Qwen3.5 Plus

    Released Feb 16, 2026

    66/100
    • ECI146.8
    • Price$0.40 / $2.40
    • Context1M
  3. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    56/100
    • ECI143.5
    • Price$0.60 / $2.20
    • Context205K
01 — Verdict

Too close to call

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

  • CapabilityQwen3.5 PlusCapabilities Index (ECI): Qwen3.5 Plus 146.8 · GLM-4.7 143.5 · Qwen3.5 35B-A3B 142.5
  • Lowest priceQwen3.5 35B-A3BQwen3.5 35B-A3B $0.688 · Qwen3.5 Plus $0.90 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · Qwen3.5 35B-A3B 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsQwen3.5 35B-A3BQwen3.5 35B-A3B: Text, Images, Audio, Video · Qwen3.5 Plus: Text, Images, Video · GLM-4.7: Text
  • Self-hostingQwen3.5 35B-A3B and GLM-4.7Publishes downloadable weights
How the score is built
MeasureWeightQwen3.5 35B-A3BQwen3.5 PlusGLM-4.7
CapabilityCapabilities Index (ECI)50%697470
Price25%585250
Inputs & features15%907035
Context window10%376032
Overall100%66/10066/10056/100
02 — Side by side

Every spec in one table

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

Qwen3.5 35B-A3B vs Qwen3.5 Plus vs GLM-4.7 specifications side by side
SpecificationQwen3.5 35B-A3BAlibaba (Qwen)Qwen3.5 PlusAlibaba (Qwen)GLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)142.5146.8 (best)143.5
ECI rank#88 of 148#65 of 148 (best)#84 of 148
GPQA DiamondGraduate-level science questions83.5%84.9% (best)83.3%
OTIS Mock AIME 2024–2025Competition mathematics70.0%86.7% (best)83.3%
SimpleQA VerifiedShort factual questions—25.4%32.2% (best)
Price per million tokens
Input$0.25 (best)$0.40$0.60
Output$2.00 (best)$2.40$2.20
Cached input——$0.11
Blended (3:1)$0.688 (best)$0.90$1.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Alibaba APIOfficial Z.AI API
Limits
Context window262,144 tokens1,000,000 tokens (best)204,800 tokens
Max output65,536 tokens65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioYesNoNo
VideoYesYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsOpenProprietaryOpen
API model IDqwen3.5-35b-a3bqwen3.5-plusglm-4.7
API providers181020 (best)
ReleasedFeb 23, 2026Feb 16, 2026Dec 22, 2025
Knowledge cutoff—Apr 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.

  • Qwen3.5 35B-A3B$6.50
  • Qwen3.5 Plus$8.80
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within a point (Qwen3.5 Plus 66/100, Qwen3.5 35B-A3B 66/100, GLM-4.7 56/100), so choose by what matters most for your work: Qwen3.5 Plus 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, Qwen3.5 35B-A3B, Qwen3.5 Plus or GLM-4.7?

Qwen3.5 35B-A3B is cheaper at $0.25 input / $2.00 output per million tokens (official Alibaba API price). Qwen3.5 Plus costs $0.40 input / $2.40 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 $0.688 per million tokens for Qwen3.5 35B-A3B versus $0.90 for Qwen3.5 Plus (1.3× as much) and $1.00 for GLM-4.7 (1.5× as much).

Which scores higher on benchmarks?

Qwen3.5 Plus scores higher on the Capabilities Index (ECI): Qwen3.5 Plus 146.8 (#65 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 (144.6–148.1 vs 141.3–145.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.5 Plus 84.9%, Qwen3.5 35B-A3B 83.5%, GLM-4.7 83.3%; OTIS Mock AIME 2024–2025 — Qwen3.5 Plus 86.7%, 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 Qwen3.5 35B-A3B, Qwen3.5 Plus and GLM-4.7 yet, so there is no like-for-like coding score. On overall capability, Qwen3.5 Plus 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 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.5 35B-A3B and 204,800 for GLM-4.7. Maximum output per response: Qwen3.5 35B-A3B up to 65,536, Qwen3.5 Plus up to 65,536, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Qwen3.5 35B-A3B and GLM-4.7 publishes its weights and can be self-hosted; Qwen3.5 Plus is proprietary.

Which is newer?

Qwen3.5 35B-A3B is the newest, released Feb 23, 2026. Qwen3.5 Plus came out Feb 16, 2026; GLM-4.7 came out Dec 22, 2025. Knowledge cutoff: Qwen3.5 Plus 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.