ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-5.3 vs GPT-5.4 mini

Too close to call on our weighted score (GLM-5.3 64, GPT-5.4 mini 63). The right pick depends on what you value most.

  1. Z.ai (Zhipu)

    GLM-5.3

    Released Aug 14, 2026

    64/100
    • ECI155.8
    • Price$1.40 / $4.40
    • Context1M
  2. OpenAI

    GPT-5.4 mini

    Released Mar 17, 2026

    63/100
    • ECI148.8
    • Price$0.75 / $4.50
    • Context400K
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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GLM-5.3 64/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: GLM-5.3 for raw capability and GPT-5.4 mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.3Capabilities Index (ECI): GLM-5.3 155.8 · GPT-5.4 mini 148.8
  • Lowest priceGPT-5.4 miniGPT-5.4 mini $1.69 · GLM-5.3 $2.15 per 1M tokens (3:1 blend)
  • Longest contextGLM-5.3GLM-5.3 1,000,000 · GPT-5.4 mini 400,000 tokens
  • Widest inputsGPT-5.4 miniGLM-5.3: Text · GPT-5.4 mini: Text, Images
  • Self-hostingGLM-5.3Publishes downloadable weights
How the score is built
MeasureWeightGLM-5.3GPT-5.4 mini
CapabilityCapabilities Index (ECI)50%8577
Price25%3439
Inputs & features15%4570
Context window10%6044
Overall100%64/10063/100
02 — Side by side

Every spec in one table

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

GLM-5.3 vs GPT-5.4 mini specifications side by side
SpecificationGLM-5.3Z.ai (Zhipu)GPT-5.4 miniOpenAI
Capability
Capabilities Index (ECI)155.8 (best)148.8
ECI rank#24 of 148 (best)#56 of 148
GPQA DiamondGraduate-level science questions90.9% (best)86.9%
FrontierMath Tiers 1–3Research-level mathematics68.8% (best)51.2%
OTIS Mock AIME 2024–2025Competition mathematics91.1% (best)88.9%
SimpleQA VerifiedShort factual questions41.0% (best)29.4%
Price per million tokens
Input$1.40$0.75 (best)
Output$4.40 (best)$4.50
Cached input$0.26$0.075 (best)
Blended (3:1)$2.15$1.69 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial OpenAI API
Limits
Context window1,000,000 tokens (best)400,000 tokens
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYeslow · high · maxYeslow · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDglm-5.3gpt-5.4-mini
API providers62 (best)29
ReleasedAug 14, 2026Mar 17, 2026
Knowledge cutoff—Aug 31, 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-5.3$22.80
  • GPT-5.4 mini$16.50
04 — Questions

Which should you choose?

Which is better: GLM-5.3 or GPT-5.4 mini?

It is close. Our weighted score puts them within 1 points (GLM-5.3 64/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: GLM-5.3 for raw capability and GPT-5.4 mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5.3 or GPT-5.4 mini?

GPT-5.4 mini is cheaper at $0.75 input / $4.50 output per million tokens (official OpenAI API price). GLM-5.3 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.69 per million tokens for GPT-5.4 mini versus $2.15 for GLM-5.3 (1.3× as much).

Which scores higher on benchmarks?

GLM-5.3 scores higher on the Capabilities Index (ECI): GLM-5.3 155.8 (#24 of 148) and GPT-5.4 mini 148.8 (#56 of 148). Their confidence ranges do not overlap (153.7–158.3 vs 147.1–150.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — GLM-5.3 90.9%, GPT-5.4 mini 86.9%; FrontierMath Tiers 1–3 — GLM-5.3 68.8%, GPT-5.4 mini 51.2%; OTIS Mock AIME 2024–2025 — GLM-5.3 91.1%, GPT-5.4 mini 88.9%; SimpleQA Verified — GLM-5.3 41.0%, GPT-5.4 mini 29.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-5.3 and GPT-5.4 mini yet, so there is no like-for-like coding score. On overall capability, GLM-5.3 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?

GLM-5.3 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 mini. Maximum output per response: GLM-5.3 up to 131,072, GPT-5.4 mini up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GLM-5.3 accepts text; GPT-5.4 mini accepts text and images. GPT-5.4 mini handles the widest range of inputs.

Are any of these open source?

GLM-5.3 publishes its weights and can be self-hosted; GPT-5.4 mini is proprietary.

Which is newer?

GLM-5.3 is the newest, released Aug 14, 2026. GPT-5.4 mini came out Mar 17, 2026. Knowledge cutoff: GPT-5.4 mini Aug 31, 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 Oct 4, 2026.