ZMIME
Comparison · 3 models · Updated Nov 2, 2026

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

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

  1. 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
  2. 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

  3. 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
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 PlusQwen3 235B-A22B Thinking 2507: Text · Qwen3.5 Plus: Text, Images, Video · GLM-4.7: Text
  • Self-hostingQwen3 235B-A22B Thinking 2507 and GLM-4.7Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightQwen3 235B-A22B Thinking 2507Qwen3.5 PlusGLM-4.7
CapabilityCapabilities Index (ECI)50%697269
Price25%495048
Inputs & features15%358035
Context window10%376032
Overall100%55/10066/10055/100
02 — Side by side

Every spec in one table

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

Qwen3 235B-A22B Thinking 2507 vs Qwen3.5 Plus vs GLM-4.7 specifications side by side
SpecificationQwen3 235B-A22B Thinking 2507Alibaba (Qwen)Qwen3.5 PlusAlibaba (Qwen)GLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)143.8146.3 (best)143.7
ECI rank#93 of 165#78 of 165 (best)#94 of 165
GPQA DiamondGraduate-level science questions80.1%84.9% (best)83.3%
OTIS Mock AIME 2024–2025Competition mathematics86.7% (best)86.7% (best)83.3%
SimpleQA VerifiedShort factual questions40.4% (best)25.4%32.2%
Price per million tokens
Input$0.30 (best)$0.40$0.60
Output$2.90$2.40$2.20 (best)
Cached input——$0.11
Blended (3:1)$0.95$0.90 (best)$1.00
Long-context rateSame rateOver 256K: $0.50 / $3.00Same rate
Price sourceMedian of 11 providersOfficial Alibaba APIOfficial Z.AI API
Limits
Context window262,144 tokens1,000,000 tokens (best)204,800 tokens
Max output81,920 tokens65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenApache 2.0ProprietaryOpen
API model ID—qwen3.5-plusglm-4.7
API providers121331 (best)
ReleasedJul 25, 2025Feb 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 235B-A22B Thinking 2507$8.80
  • Qwen3.5 Plus$8.80
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

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

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

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 Qwen3 235B-A22B Thinking 2507, 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 235B-A22B Thinking 2507 and 204,800 for GLM-4.7. Maximum output per response: Qwen3 235B-A22B Thinking 2507 up to 81,920, Qwen3.5 Plus up to 65,536, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Qwen3 235B-A22B Thinking 2507 and GLM-4.7 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: 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 Nov 2, 2026.

05 — Keep comparing

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