ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Qwen3 235B-A22B Thinking 2507 vs GLM-4.7 vs GPT-5 Mini

GPT-5 Mini comes out ahead, 64 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. 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
  3. Our pick

    OpenAI

    GPT-5 Mini

    Released Aug 7, 2025

    64/100
    • ECI145.4
    • Price$0.25 / $2.00
    • Context400K
    Full specs Remove GPT-5 Mini
01 — Verdict

GPT-5 Mini is our pick

GPT-5 Mini is the better all-round choice, scoring 64/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5 MiniCapabilities Index (ECI): GPT-5 Mini 145.4 · Qwen3 235B-A22B Thinking 2507 143.8 · GLM-4.7 143.7
  • Lowest priceGPT-5 MiniGPT-5 Mini $0.688 · Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 MiniGPT-5 Mini 400,000 · Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsGPT-5 MiniQwen3 235B-A22B Thinking 2507: Text · GLM-4.7: Text · GPT-5 Mini: Text, Images
  • Self-hostingQwen3 235B-A22B Thinking 2507 and GLM-4.7Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightQwen3 235B-A22B Thinking 2507GLM-4.7GPT-5 Mini
CapabilityCapabilities Index (ECI)50%696971
Price25%494855
Inputs & features15%353570
Context window10%373244
Overall100%55/10055/10064/100
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 GLM-4.7 vs GPT-5 Mini specifications side by side
SpecificationQwen3 235B-A22B Thinking 2507Alibaba (Qwen)GLM-4.7Z.ai (Zhipu)GPT-5 MiniOpenAI
Capability
Capabilities Index (ECI)143.8143.7145.4 (best)
ECI rank#93 of 165#94 of 165#87 of 165 (best)
GPQA DiamondGraduate-level science questions80.1%83.3% (best)75.0%
FrontierMath Tiers 1–3Research-level mathematics——46.7%
OTIS Mock AIME 2024–2025Competition mathematics86.7% (best)83.3%86.7% (best)
SWE-bench VerifiedFixing real GitHub issues——64.7%
SimpleQA VerifiedShort factual questions40.4% (best)32.2%21.6%
Price per million tokens
Input$0.30$0.60$0.25 (best)
Output$2.90$2.20$2.00 (best)
Cached input—$0.11$0.025 (best)
Blended (3:1)$0.95$1.00$0.688 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 11 providersOfficial Z.AI APIOfficial OpenAI API
Limits
Context window262,144 tokens204,800 tokens400,000 tokens (best)
Max output81,920 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenApache 2.0OpenProprietary
API model ID—glm-4.7gpt-5-mini
API providers123135 (best)
ReleasedJul 25, 2025Dec 22, 2025Aug 7, 2025
Knowledge cutoff—Apr 2025May 30, 2024
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
  • GLM-4.7$10.40
  • GPT-5 Mini$6.50
04 — Questions

Which should you choose?

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

GPT-5 Mini is the better all-round choice, scoring 64/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on capability, price, 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, GLM-4.7 or GPT-5 Mini?

GPT-5 Mini is cheaper at $0.25 input / $2.00 output per million tokens (official OpenAI 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 $0.688 per million tokens for GPT-5 Mini versus $0.95 for Qwen3 235B-A22B Thinking 2507 (1.4× as much) and $1.00 for GLM-4.7 (1.5× as much).

Which scores higher on benchmarks?

GPT-5 Mini scores higher on the Capabilities Index (ECI): GPT-5 Mini 145.4 (#87 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 (143.5–147.1 vs 141.9–145.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Qwen3 235B-A22B Thinking 2507 80.1%, GPT-5 Mini 75.0%; OTIS Mock AIME 2024–2025 — Qwen3 235B-A22B Thinking 2507 86.7%, GPT-5 Mini 86.7%, GLM-4.7 83.3%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, GLM-4.7 32.2%, GPT-5 Mini 21.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 235B-A22B Thinking 2507 and GLM-4.7 yet, so there is no like-for-like coding score. On overall capability, GPT-5 Mini 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?

GPT-5 Mini has the largest context window at 400,000 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, GLM-4.7 up to 131,072, GPT-5 Mini up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3 235B-A22B Thinking 2507 accepts text; GLM-4.7 accepts text; GPT-5 Mini accepts text and images. GPT-5 Mini 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; GPT-5 Mini is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. GPT-5 Mini came out Aug 7, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, GPT-5 Mini May 30, 2024.

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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