GLM 5.3 vs GPT-5.4

GLM 5.3 is the cheaper of the two, though not evenly: its output costs 71% less than GPT-5.4's, $4.40 per 1M against $15.00, while its input is only 44% cheaper, $1.40 against $2.50. Caching narrows the gap: over a thousand agent loops, where most of each prompt comes from cache, that is $273.60 against $460.00.

GLM 5.3 also scores higher on coding ability (Coding Index), 74.8 (max) against 71.1 (xhigh), though only just, which makes price the stronger reason to prefer it.

Standard pay-as-you-go prices, as of 14 Aug 2026. Last updated 27 Sep 2026.

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Cheaper overall

GLM 5.3

62% lower blended rate

Higher benchmark scores

GLM 5.3

leads on 12 of 17 figures

Bigger context window

GPT-5.4

1,050,000 vs 1,000,000 tokens

Cheaper cached input

GPT-5.4

$0.25 vs $0.26, 4% less

Where each one wins

GLM 5.3

  • Cheaper input tokens $1.40 vs $2.50, 44% less
  • Cheaper output tokens $4.40 vs $15.00, 71% less
  • Cheaper on all four workloads
  • Higher coding ability (Coding Index) 74.8 vs 71.1
  • Higher real-world task performance (GDPval) 57.2 vs 36.6
  • Higher answer reliability (Omniscience Non-Hallucination) 70.4 vs 17.4
  • Ahead on 9 more benchmark figures

GPT-5.4

  • Cheaper cached input $0.25 vs $0.26, 4% less
  • Larger context window 1,050,000 tokens
  • Higher graduate-level science (GPQA Diamond) 92 vs 91.7
  • Higher expert-exam performance (Humanity's Last Exam) 43.7 vs 42.3
  • Higher long-context reasoning (AA-LCR) 82 vs 79.7
  • Ahead on 2 more benchmark figures
  • Offers Batch, Flex and Priority pricing not listed for GLM 5.3

What four workloads cost

One run, and the same run a thousand times.

The gap opens on long prompts: GLM 5.3 costs $0.5732 against $2.07, a difference of $1,494.30 over a thousand runs.

Workload GLM 5.3 GPT-5.4 ร—1,000 Difference
Chat turn 1,000 in / 500 out $0.0036 $0.0100 $3.60 / $10.00 GLM 5.3 is 64% cheaper
RAG answer 10,000 in / 800 out $0.0175 $0.0370 $17.52 / $37.00 GLM 5.3 is 53% cheaper
Agent loop 32,000 in / 700 out ร— 20 calls $0.2736 $0.4600 $273.60 / $460.00 GLM 5.3 is 41% cheaper
Long document 400,000 in / 3,000 out $0.5732 $2.07 $573.20 / $2,067.50 GLM 5.3 is 72% cheaper

Price your own token counts for these two โ†’

Price per 1M tokens

Above 272,000 input tokens the rates change, and the new rate applies to the whole request, not just the tokens past that point: GPT-5.4's input goes from $2.50 to $5.00. It does not change which of the two is cheaper.

Context band Price GLM 5.3 GPT-5.4 Difference
Prompts up to 272,000 tokens Input $1.40 $2.50 GLM 5.3 is 44% cheaper
Prompts up to 272,000 tokens Cached input $0.26 $0.25 GPT-5.4 is 4% cheaper
Prompts up to 272,000 tokens Output $4.40 $15.00 GLM 5.3 is 71% cheaper
Prompts over 272,000 tokens Input $1.40 $5.00 GLM 5.3 is 72% cheaper
Prompts over 272,000 tokens Cached input $0.26 $0.50 GLM 5.3 is 48% cheaper
Prompts over 272,000 tokens Output $4.40 $22.50 GLM 5.3 is 80% cheaper

Blended: GLM 5.3 $2.15, GPT-5.4 $5.625 per 1M โ€” one rate at 3:1 input to output, for comparing two models at a glance.

GLM 5.3 priced by Z.ai, GPT-5.4 by OpenAI. Standard tier, pay-as-you-go.

Other pricing tiers

Only GPT-5.4 lists Batch, Flex and Priority, at up to 50% off its own standard rate; GLM 5.3 offers none of them.

Every tier either model sells is here, so this is the whole price sheet. A saving is measured against that model's own standard rate โ€” how we read tiers.

Tier GLM 5.3 GPT-5.4 Cheaper
Batch only on GPT-5.4 Not offered $1.25 in / $7.50 out 50% off Standard —
Flex only on GPT-5.4 Not offered $1.25 in / $7.50 out 50% off Standard —
Priority only on GPT-5.4 Not offered $5.00 in / $30.00 out —

Benchmarks

They share 17 figures: GLM 5.3 leads on 12, GPT-5.4 on 5. The widest gap is 255 points, on 3d Elo.

Coding ability

Coding Index โ€” Coding ability across software-engineering evals

GLM 5.3 74.8
GPT-5.4 71.1

GLM 5.3 ahead by 3.7

Graduate-level science

GPQA Diamond โ€” Graduate-level questions in biology, chemistry & physics

GLM 5.3 91.7
GPT-5.4 92

GPT-5.4 ahead by 0.3

Expert-exam performance

Humanity's Last Exam โ€” Expert-level questions across many academic domains

GLM 5.3 42.3
GPT-5.4 43.7

GPT-5.4 ahead by 1.4

Long-context reasoning

AA-LCR โ€” Long-context reasoning across large inputs

GLM 5.3 79.7
GPT-5.4 82

GPT-5.4 ahead by 2.3

Physics research reasoning

CritPt โ€” Unpublished physics research reasoning problems

GLM 5.3 19.1
GPT-5.4 23.4

GPT-5.4 ahead by 4.3

Real-world task performance

GDPval โ€” Economically valuable, real-world knowledge work

GLM 5.3 57.2
GPT-5.4 36.6

GLM 5.3 ahead by 20.6

Factual accuracy

Omniscience Accuracy โ€” Breadth of factual knowledge across domains

GLM 5.3 33.9
GPT-5.4 50.8

GPT-5.4 ahead by 16.9

Answer reliability

Omniscience Non-Hallucination โ€” How reliably the model avoids fabricated answers

GLM 5.3 70.4
GPT-5.4 17.4

GLM 5.3 ahead by 53

Mobileapps Elo

Design Arena head-to-head rating in the mobileapps category

GLM 5.3 1,221
GPT-5.4 1,115

GLM 5.3 ahead by 106

3d Elo

Design Arena head-to-head rating in the 3d category

GLM 5.3 1,375
GPT-5.4 1,120

GLM 5.3 ahead by 255

Asciiart Elo

Design Arena head-to-head rating in the asciiart category

GLM 5.3 1,218
GPT-5.4 1,212

GLM 5.3 ahead by 6

Codecategories Elo

Design Arena head-to-head rating in the codecategories category

GLM 5.3 1,321
GPT-5.4 1,221

GLM 5.3 ahead by 100

Dataviz Elo

Design Arena head-to-head rating in the dataviz category

GLM 5.3 1,272
GPT-5.4 1,245

GLM 5.3 ahead by 27

Gamedev Elo

Design Arena head-to-head rating in the gamedev category

GLM 5.3 1,355
GPT-5.4 1,253

GLM 5.3 ahead by 102

Svg Elo

Design Arena head-to-head rating in the svg category

GLM 5.3 1,307
GPT-5.4 1,203

GLM 5.3 ahead by 104

Uicomponent Elo

Design Arena head-to-head rating in the uicomponent category

GLM 5.3 1,331
GPT-5.4 1,248

GLM 5.3 ahead by 83

Website Elo

Design Arena head-to-head rating in the website category

GLM 5.3 1,309
GPT-5.4 1,228

GLM 5.3 ahead by 81

Each figure is that model's best published run, with the effort level named beside it โ€” where these scores come from.

Specifications

GPT-5.4 holds 50,000 more input tokens in one request. GPT-5.4 also takes file and image.

Specification GLM 5.3 GPT-5.4
Context window 1,000,000 tokens 1,050,000 tokens
Max output 128,000 tokens 128,000 tokens
Takes in Text Text, image, file
Puts out Text Text
Knowledge cutoff โ€” 31 Aug 2025
Released 14 Aug 2026 5 Mar 2026
Status Active Active
Sold by Perplexity, Z.ai OpenAI, Perplexity

FAQs

Is GLM 5.3 cheaper than GPT-5.4?
Yes. A 1,000-token prompt with a 500-token reply costs $0.0036 on GLM 5.3 and $0.0100 on GPT-5.4, and the same model is cheaper on every workload on this page.
How much do GLM 5.3 and GPT-5.4 cost per 1M tokens?
GLM 5.3 costs $1.40 for input and $4.40 for output. GPT-5.4 costs $2.50 and $15.00. Standard pay-as-you-go rates, as of 14 Aug 2026.
Which is better, GLM 5.3 or GPT-5.4?
On published benchmarks, GLM 5.3. It leads on 12 of the 17 figures both models report, including coding ability (Coding Index), where it scores 74.8 against 71.1.
Does GLM 5.3 or GPT-5.4 offer batch pricing?
GPT-5.4 only. Its batch input costs $1.25, 50% off its standard rate, and GLM 5.3 lists no batch tier at all.
Does GLM 5.3 or GPT-5.4 have a bigger context window?
GPT-5.4, at 1,050,000 tokens against 1,000,000. That is 50,000 more input tokens in a single request.

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