ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GLM-4.7 vs Qwen3 235B-A22B Thinking 2507 vs Qwen3.6 35B-A3B

Qwen3.6 35B-A3B comes out ahead, 63 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)

    Qwen3.6 35B-A3B

    Released Apr 17, 2026

    63/100
    • ECI143.8
    • Price$0.375 / $2.25
    • Context262K
    Full specs Remove Qwen3.6 35B-A3B
01 — Verdict

Qwen3.6 35B-A3B is our pick

Qwen3.6 35B-A3B is the better all-round choice, scoring 63/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.6 35B-A3BCapabilities Index (ECI): Qwen3.6 35B-A3B 143.8 · Qwen3 235B-A22B Thinking 2507 143.8 · GLM-4.7 143.7
  • Lowest priceQwen3.6 35B-A3BQwen3.6 35B-A3B $0.844 · Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3 235B-A22B Thinking 2507 and Qwen3.6 35B-A3BQwen3 235B-A22B Thinking 2507 262,144 · Qwen3.6 35B-A3B 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsQwen3.6 35B-A3BGLM-4.7: Text · Qwen3 235B-A22B Thinking 2507: Text · Qwen3.6 35B-A3B: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7Qwen3 235B-A22B Thinking 2507Qwen3.6 35B-A3B
CapabilityCapabilities Index (ECI)50%696969
Price25%484951
Inputs & features15%353580
Context window10%323737
Overall100%55/10055/10063/100
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 Qwen3.6 35B-A3B specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Qwen3 235B-A22B Thinking 2507Alibaba (Qwen)Qwen3.6 35B-A3BAlibaba (Qwen)
Capability
Capabilities Index (ECI)143.7143.8143.8 (best)
ECI rank#94 of 165#93 of 165#92 of 165 (best)
GPQA DiamondGraduate-level science questions83.3%80.1%84.9% (best)
FrontierMath Tiers 1–3Research-level mathematics——20.4%
OTIS Mock AIME 2024–2025Competition mathematics83.3%86.7% (best)86.7% (best)
SimpleQA VerifiedShort factual questions32.2%40.4% (best)—
Price per million tokens
Input$0.60$0.30 (best)$0.375
Output$2.20 (best)$2.90$2.25
Cached input$0.11——
Blended (3:1)$1.00$0.95$0.844 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 11 providersOfficial Alibaba API
Limits
Context window204,800 tokens262,144 tokens (best)262,144 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 2.0Open
API model IDglm-4.7—qwen3.6-35b-a3b
API providers311238 (best)
ReleasedDec 22, 2025Jul 25, 2025Apr 17, 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 235B-A22B Thinking 2507$8.80
  • Qwen3.6 35B-A3B$8.25
04 — Questions

Which should you choose?

Which is better: GLM-4.7, Qwen3 235B-A22B Thinking 2507 or Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B is the better all-round choice, scoring 63/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on price and inputs & features. 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 Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B is cheaper at $0.375 input / $2.25 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 $0.844 per million tokens for Qwen3.6 35B-A3B versus $0.95 for Qwen3 235B-A22B Thinking 2507 (1.1× as much) and $1.00 for GLM-4.7 (1.2× as much).

Which scores higher on benchmarks?

Qwen3.6 35B-A3B scores higher on the Capabilities Index (ECI): Qwen3.6 35B-A3B 143.8 (#92 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 (141.1–146.0 vs 141.9–145.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 35B-A3B 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%, Qwen3.6 35B-A3B 86.7%, GLM-4.7 83.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Qwen3 235B-A22B Thinking 2507 and Qwen3.6 35B-A3B yet, so there is no like-for-like coding score. On overall capability, Qwen3.6 35B-A3B 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 235B-A22B Thinking 2507 and Qwen3.6 35B-A3B 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 235B-A22B Thinking 2507 up to 81,920, Qwen3.6 35B-A3B 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; Qwen3.6 35B-A3B accepts text, images and video. Qwen3.6 35B-A3B handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (Apache 2.0), so you can self-host them.

Which is newer?

Qwen3.6 35B-A3B is the newest, released Apr 17, 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.

05 — Keep comparing

Related comparisons