ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.7 vs GPT-5 Mini

GPT-5 Mini comes out ahead, 65 to 56 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    56/100
    • ECI143.5
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7
  2. Our pick

    OpenAI

    GPT-5 Mini

    Released Aug 7, 2025

    65/100
    • ECI145.5
    • Price$0.25 / $2.00
    • Context400K
    Full specs Remove GPT-5 Mini

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5 Mini is our pick

GPT-5 Mini is the better all-round choice, scoring 65/100 against GLM-4.7 (56). 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 145.5 · GLM-4.7 143.5
  • Lowest priceGPT-5 MiniGPT-5 Mini $0.688 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 MiniGPT-5 Mini 400,000 · GLM-4.7 204,800 tokens
  • Widest inputsGPT-5 MiniGLM-4.7: Text · GPT-5 Mini: Text, Images
  • Self-hostingGLM-4.7Publishes downloadable weights
How the score is built
MeasureWeightGLM-4.7GPT-5 Mini
CapabilityCapabilities Index (ECI)50%7072
Price25%5058
Inputs & features15%3570
Context window10%3244
Overall100%56/10065/100
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 GPT-5 Mini specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)GPT-5 MiniOpenAI
Capability
Capabilities Index (ECI)143.5145.5 (best)
ECI rank#84 of 148#77 of 148 (best)
GPQA DiamondGraduate-level science questions83.3% (best)75.0%
FrontierMath Tiers 1–3Research-level mathematics—46.7%
OTIS Mock AIME 2024–2025Competition mathematics83.3%86.7% (best)
SWE-bench VerifiedFixing real GitHub issues—64.7%
SimpleQA VerifiedShort factual questions32.2% (best)21.6%
Price per million tokens
Input$0.60$0.25 (best)
Output$2.20$2.00 (best)
Cached input$0.11$0.025 (best)
Blended (3:1)$1.00$0.688 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial OpenAI API
Limits
Context window204,800 tokens400,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYesminimal · low · medium · high
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model IDglm-4.7gpt-5-mini
API providers2023 (best)
ReleasedDec 22, 2025Aug 7, 2025
Knowledge cutoffApr 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.

  • GLM-4.7$10.40
  • GPT-5 Mini$6.50
04 — Questions

Which should you choose?

Which is better: GLM-4.7 or GPT-5 Mini?

GPT-5 Mini is the better all-round choice, scoring 65/100 against GLM-4.7 (56). 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, 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). 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 $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 145.5 (#77 of 148) and GLM-4.7 143.5 (#84 of 148). The confidence ranges of the top two overlap (143.6–147.0 vs 141.3–145.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, GPT-5 Mini 75.0%; OTIS Mock AIME 2024–2025 — GPT-5 Mini 86.7%, GLM-4.7 83.3%; SimpleQA Verified — GLM-4.7 32.2%, GPT-5 Mini 21.6%.

Which is better for coding?

There are no published SWE-bench Verified results for 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. Both 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 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, GPT-5 Mini up to 128,000 tokens.

Which can read images, PDFs, audio or video?

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?

GLM-4.7 publishes its weights 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. 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 Oct 4, 2026.

05 — Keep comparing

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