ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GLM-4.7 vs Qwen3 235B-A22B Thinking 2507 vs Qwen3.5 Plus

Qwen3.5 Plus comes out ahead, 66 to 55 and 55 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    55/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  2. Alibaba (Qwen)

    Qwen3 235B-A22B Thinking 2507

    Released Jul 25, 2025

    55/100
    • ECI143.8
    • Price$0.30 / $2.90
    • Context262K
    Full specs Remove Qwen3 235B-A22B Thinking 2507
  3. Our pick

    Alibaba (Qwen)

    Qwen3.5 Plus

    Released Feb 16, 2026

    66/100
    • ECI146.3
    • Price$0.40 / $2.40
    • Context1M
    Full specs Remove Qwen3.5 Plus
01 — Verdict

Qwen3.5 Plus is our pick

Qwen3.5 Plus is the better all-round choice, scoring 66/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.5 PlusCapabilities Index (ECI): Qwen3.5 Plus 146.3 · Qwen3 235B-A22B Thinking 2507 143.8 · GLM-4.7 143.7
  • Lowest priceQwen3.5 PlusQwen3.5 Plus $0.90 · Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsQwen3.5 PlusGLM-4.7: Text · Qwen3 235B-A22B Thinking 2507: Text · Qwen3.5 Plus: Text, Images, Video
  • Self-hostingGLM-4.7 and Qwen3 235B-A22B Thinking 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGLM-4.7Qwen3 235B-A22B Thinking 2507Qwen3.5 Plus
CapabilityCapabilities Index (ECI)50%696972
Price25%484950
Inputs & features15%353580
Context window10%323760
Overall100%55/10055/10066/100
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 235B-A22B Thinking 2507 vs Qwen3.5 Plus specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Qwen3 235B-A22B Thinking 2507Alibaba (Qwen)Qwen3.5 PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)143.7143.8146.3 (best)
ECI rank#94 of 165#93 of 165#78 of 165 (best)
GPQA DiamondGraduate-level science questions83.3%80.1%84.9% (best)
OTIS Mock AIME 2024–2025Competition mathematics83.3%86.7% (best)86.7% (best)
SimpleQA VerifiedShort factual questions32.2%40.4% (best)25.4%
Price per million tokens
Input$0.60$0.30 (best)$0.40
Output$2.20 (best)$2.90$2.40
Cached input$0.11——
Blended (3:1)$1.00$0.95$0.90 (best)
Long-context rateSame rateSame rateOver 256K: $0.50 / $3.00
Price sourceOfficial Z.AI APIMedian of 11 providersOfficial Alibaba API
Limits
Context window204,800 tokens262,144 tokens1,000,000 tokens (best)
Max output131,072 tokens (best)81,920 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenApache 2.0Proprietary
API model IDglm-4.7—qwen3.5-plus
API providers31 (best)1213
ReleasedDec 22, 2025Jul 25, 2025Feb 16, 2026
Knowledge cutoffApr 2025—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-4.7$10.40
  • Qwen3 235B-A22B Thinking 2507$8.80
  • Qwen3.5 Plus$8.80
04 — Questions

Which should you choose?

Which is better: GLM-4.7, Qwen3 235B-A22B Thinking 2507 or Qwen3.5 Plus?

Qwen3.5 Plus is the better all-round choice, scoring 66/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-4.7, Qwen3 235B-A22B Thinking 2507 or Qwen3.5 Plus?

Qwen3.5 Plus is cheaper at $0.40 input / $2.40 output per million tokens (official Alibaba API price). Qwen3 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 API providers); 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 $0.90 per million tokens for Qwen3.5 Plus versus $0.95 for Qwen3 235B-A22B Thinking 2507 (1.1× as much) and $1.00 for GLM-4.7 (1.1× as much).

Which scores higher on benchmarks?

Qwen3.5 Plus scores higher on the Capabilities Index (ECI): Qwen3.5 Plus 146.3 (#78 of 165), Qwen3 235B-A22B Thinking 2507 143.8 (#93 of 165) and GLM-4.7 143.7 (#94 of 165). The confidence ranges of the top two overlap (143.7–147.6 vs 141.9–145.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.5 Plus 84.9%, GLM-4.7 83.3%, Qwen3 235B-A22B Thinking 2507 80.1%; OTIS Mock AIME 2024–2025 — Qwen3 235B-A22B Thinking 2507 86.7%, Qwen3.5 Plus 86.7%, GLM-4.7 83.3%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, GLM-4.7 32.2%, Qwen3.5 Plus 25.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Qwen3 235B-A22B Thinking 2507 and Qwen3.5 Plus 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 235B-A22B Thinking 2507 and 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, Qwen3 235B-A22B Thinking 2507 up to 81,920, Qwen3.5 Plus up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Qwen3 235B-A22B Thinking 2507 accepts text; Qwen3.5 Plus accepts text, images and video. Qwen3.5 Plus handles the widest range of inputs.

Are any of these open source?

GLM-4.7 and Qwen3 235B-A22B Thinking 2507 publishes its weights (Apache 2.0) and can be self-hosted; Qwen3.5 Plus is proprietary.

Which is newer?

Qwen3.5 Plus is the newest, released Feb 16, 2026. GLM-4.7 came out Dec 22, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, Qwen3.5 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 Nov 2, 2026.

05 — Keep comparing

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