ZMIME
Comparison · 3 models · Updated Nov 2, 2026

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

Qwen3.5 Flash comes out ahead, 73 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
  2. Our pick

    Alibaba (Qwen)

    Qwen3.5 Flash

    Released Feb 23, 2026

    73/100
    • ECI143.6
    • Price$0.10 / $0.40
    • Context1M
  3. Alibaba (Qwen)

    Qwen3 235B-A22B Thinking 2507

    Released Jul 25, 2025

    55/100
    • ECI143.8
    • Price$0.30 / $2.90
    • Context262K
01 — Verdict

Qwen3.5 Flash is our pick

Qwen3.5 Flash is the better all-round choice, scoring 73/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 235B-A22B Thinking 2507Capabilities Index (ECI): Qwen3 235B-A22B Thinking 2507 143.8 · GLM-4.7 143.7 · Qwen3.5 Flash 143.6
  • Lowest priceQwen3.5 FlashQwen3.5 Flash $0.175 · Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 FlashQwen3.5 Flash 1,000,000 · Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsQwen3.5 FlashGLM-4.7: Text · Qwen3.5 Flash: Text, Images, Video · Qwen3 235B-A22B Thinking 2507: Text
  • Self-hostingGLM-4.7 and Qwen3 235B-A22B Thinking 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGLM-4.7Qwen3.5 FlashQwen3 235B-A22B Thinking 2507
CapabilityCapabilities Index (ECI)50%696969
Price25%488249
Inputs & features15%358035
Context window10%326037
Overall100%55/10073/10055/100
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 Flash vs Qwen3 235B-A22B Thinking 2507 specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Qwen3.5 FlashAlibaba (Qwen)Qwen3 235B-A22B Thinking 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)143.7143.6143.8 (best)
ECI rank#94 of 165#95 of 165#93 of 165 (best)
GPQA DiamondGraduate-level science questions83.3% (best)82.3%80.1%
FrontierMath Tiers 1–3Research-level mathematics—18.3%—
OTIS Mock AIME 2024–2025Competition mathematics83.3%84.4%86.7% (best)
SimpleQA VerifiedShort factual questions32.2%20.3%40.4% (best)
Price per million tokens
Input$0.60$0.10 (best)$0.30
Output$2.20$0.40 (best)$2.90
Cached input$0.11$0.01 (best)—
Blended (3:1)$1.00$0.175 (best)$0.95
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Alibaba APIMedian of 11 providers
Limits
Context window204,800 tokens1,000,000 tokens (best)262,144 tokens
Max output131,072 tokens (best)65,536 tokens81,920 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenProprietaryOpenApache 2.0
API model IDglm-4.7qwen3.5-flash—
API providers31 (best)912
ReleasedDec 22, 2025Feb 23, 2026Jul 25, 2025
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 Flash$1.80
  • Qwen3 235B-A22B Thinking 2507$8.80
04 — Questions

Which should you choose?

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

Qwen3.5 Flash is the better all-round choice, scoring 73/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). 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, Qwen3.5 Flash or Qwen3 235B-A22B Thinking 2507?

Qwen3.5 Flash is cheaper at $0.10 input / $0.40 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 $0.175 per million tokens for Qwen3.5 Flash versus $0.95 for Qwen3 235B-A22B Thinking 2507 (5.4× as much) and $1.00 for GLM-4.7 (5.7× as much).

Which scores higher on benchmarks?

Qwen3 235B-A22B Thinking 2507 scores higher on the Capabilities Index (ECI): Qwen3 235B-A22B Thinking 2507 143.8 (#93 of 165), GLM-4.7 143.7 (#94 of 165) and Qwen3.5 Flash 143.6 (#95 of 165). The confidence ranges of the top two overlap (141.9–145.2 vs 141.4–145.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Qwen3.5 Flash 82.3%, Qwen3 235B-A22B Thinking 2507 80.1%; OTIS Mock AIME 2024–2025 — Qwen3 235B-A22B Thinking 2507 86.7%, Qwen3.5 Flash 84.4%, GLM-4.7 83.3%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, GLM-4.7 32.2%, Qwen3.5 Flash 20.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Qwen3.5 Flash and Qwen3 235B-A22B Thinking 2507 yet, so there is no like-for-like coding score. On overall capability, Qwen3 235B-A22B Thinking 2507 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 Flash 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, Qwen3.5 Flash up to 65,536, Qwen3 235B-A22B Thinking 2507 up to 81,920 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Qwen3.5 Flash accepts text, images and video; Qwen3 235B-A22B Thinking 2507 accepts text. Qwen3.5 Flash 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 Flash is proprietary.

Which is newer?

Qwen3.5 Flash is the newest, released Feb 23, 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.

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.