GPT-5.4 vs GLM 5

GLM 5 is the cheaper of the two, though not evenly: its output costs 79% less than GPT-5.4's, $3.20 per 1M against $15.00, while its input is only 60% cheaper, $1.00 against $2.50. Caching narrows the gap: over a thousand agent loops, where most of each prompt comes from cache, that is $204.80 against $460.00.

GPT-5.4 costs 3.6 times as much as GLM 5, and what that buys is 11.1 points of overall intelligence (Intelligence Index): 39 (Xhigh) against 27.9 (Reasoning). Unless you genuinely need that lead, take GLM 5: GPT-5.4 is 3.6 times the price.

Standard pay-as-you-go prices, as of 11 Feb 2026. Last updated 18 Oct 2026.

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Cheaper overall

GLM 5

72% lower blended rate

Higher benchmark scores

GPT-5.4

leads on 13 of 22 figures

Bigger context window

GPT-5.4

1,050,000 vs 204,800 tokens

Cheaper cached input

GLM 5

$0.20 vs $0.25, 20% less

Where each one wins

GPT-5.4

  • Larger context window 1,050,000 tokens
  • Higher overall intelligence (Intelligence Index) 39 vs 27.9
  • Higher graduate-level science (GPQA Diamond) 92 vs 82
  • Higher expert-exam performance (Humanity's Last Exam) 43.7 vs 29.3
  • Ahead on 10 more benchmark figures
  • Offers Batch, Flex and Priority pricing not listed for GLM 5

GLM 5

  • Cheaper input tokens $1.00 vs $2.50, 60% less
  • Cheaper output tokens $3.20 vs $15.00, 79% less
  • Cheaper cached input $0.20 vs $0.25, 20% less
  • Cheaper on all four workloads
  • Higher support-agent performance (ฯ„ยฒ-Bench Telecom) 98.2 vs 87.1
  • Higher answer reliability (Omniscience Non-Hallucination) 64.7 vs 17.4
  • Higher Androidnative Elo 1,161 vs 1,046
  • Ahead on 6 more benchmark figures

What four workloads cost

One run, and the same run a thousand times.

GLM 5 is cheaper on all four workloads, by much the same margin each time โ€” about 3 times, from $0.0026 against $0.0100 on a chat turn to $0.2048 against $0.4600 on a long document.

Workload GPT-5.4 GLM 5 ร—1,000 Difference
Chat turn 1,000 in / 500 out $0.0100 $0.0026 $10.00 / $2.60 GLM 5 is 74% cheaper
RAG answer 10,000 in / 800 out $0.0370 $0.0126 $37.00 / $12.56 GLM 5 is 66% cheaper
Agent loop 32,000 in / 700 out ร— 20 calls $0.4600 $0.2048 $460.00 / $204.80 GLM 5 is 55% cheaper
Long document 400,000 in / 3,000 out GLM 5's context window holds 204,800 tokens, so a 400,000-token prompt does not fit.

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 GPT-5.4 GLM 5 Difference
Prompts up to 272,000 tokens Input $2.50 $1.00 GLM 5 is 60% cheaper
Prompts up to 272,000 tokens Cached input $0.25 $0.20 GLM 5 is 20% cheaper
Prompts up to 272,000 tokens Output $15.00 $3.20 GLM 5 is 79% cheaper
Prompts over 272,000 tokens Input $5.00 $1.00 GLM 5 is 80% cheaper
Prompts over 272,000 tokens Cached input $0.50 $0.20 GLM 5 is 60% cheaper
Prompts over 272,000 tokens Output $22.50 $3.20 GLM 5 is 86% cheaper

Blended: GPT-5.4 $5.625, GLM 5 $1.55 per 1M โ€” one rate at 3:1 input to output, for comparing two models at a glance.

GPT-5.4 priced by OpenAI, GLM 5 by Z.ai. 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 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 GPT-5.4 GLM 5 Cheaper
Batch only on GPT-5.4 $1.25 in / $7.50 out 50% off Standard Not offered —
Flex only on GPT-5.4 $1.25 in / $7.50 out 50% off Standard Not offered —
Priority only on GPT-5.4 $5.00 in / $30.00 out Not offered —

Benchmarks

They share 22 figures: GPT-5.4 leads on 13, GLM 5 on 9. The widest gap is 127 points, on 3d Elo.

Overall intelligence

Intelligence Index โ€” Overall intelligence across reasoning, knowledge & math evals

GPT-5.4 39
GLM 5 27.9

GPT-5.4 ahead by 11.1

Graduate-level science

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

GPT-5.4 92
GLM 5 82

GPT-5.4 ahead by 10

Expert-exam performance

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

GPT-5.4 43.7
GLM 5 29.3

GPT-5.4 ahead by 14.4

Instruction following

IFBench โ€” Precise following of detailed instructions

GPT-5.4 73.9
GLM 5 72.3

GPT-5.4 ahead by 1.6

Support-agent performance

ฯ„ยฒ-Bench Telecom โ€” Tool-using agent tasks in a telecom support setting

GPT-5.4 87.1
GLM 5 98.2

GLM 5 ahead by 11.1

Long-context reasoning

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

GPT-5.4 82
GLM 5 75.7

GPT-5.4 ahead by 6.3

Command-line work

Terminal-Bench Hard โ€” Complex command-line and terminal workflows

GPT-5.4 57.6
GLM 5 43.2

GPT-5.4 ahead by 14.4

Physics research reasoning

CritPt โ€” Unpublished physics research reasoning problems

GPT-5.4 23.4
GLM 5 2

GPT-5.4 ahead by 21.4

Factual accuracy

Omniscience Accuracy โ€” Breadth of factual knowledge across domains

GPT-5.4 50.8
GLM 5 26.3

GPT-5.4 ahead by 24.5

Answer reliability

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

GPT-5.4 17.4
GLM 5 64.7

GLM 5 ahead by 47.3

Androidnative Elo

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

GPT-5.4 1,046
GLM 5 1,161

GLM 5 ahead by 115

Fullstack Elo

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

GPT-5.4 1,017
GLM 5 1,123

GLM 5 ahead by 106

Godotgamedev Elo

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

GPT-5.4 1,135
GLM 5 1,144

GLM 5 ahead by 9

Mobileapps Elo

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

GPT-5.4 1,084
GLM 5 1,133

GLM 5 ahead by 49

3d Elo

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

GPT-5.4 1,103
GLM 5 1,230

GLM 5 ahead by 127

Asciiart Elo

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

GPT-5.4 1,201
GLM 5 1,149

GPT-5.4 ahead by 52

Codecategories Elo

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

GPT-5.4 1,215
GLM 5 1,249

GLM 5 ahead by 34

Dataviz Elo

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

GPT-5.4 1,236
GLM 5 1,230

GPT-5.4 ahead by 6

Gamedev Elo

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

GPT-5.4 1,243
GLM 5 1,239

GPT-5.4 ahead by 4

Svg Elo

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

GPT-5.4 1,194
GLM 5 1,167

GPT-5.4 ahead by 27

Uicomponent Elo

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

GPT-5.4 1,242
GLM 5 1,232

GPT-5.4 ahead by 10

Website Elo

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

GPT-5.4 1,222
GLM 5 1,250

GLM 5 ahead by 28

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 845,200 more input tokens in one request. GPT-5.4 also takes file and image.

Specification GPT-5.4 GLM 5
Context window 1,050,000 tokens 204,800 tokens
Max output 128,000 tokens 128,000 tokens
Takes in Text, image, file Text
Puts out Text Text
Knowledge cutoff 31 Aug 2025 โ€”
Released 5 Mar 2026 11 Feb 2026
Status Active Active
Sold by OpenAI Z.ai

FAQs

Is GPT-5.4 cheaper than GLM 5?
No โ€” the other way round. A 1,000-token prompt with a 500-token reply costs $0.0100 on GPT-5.4 and $0.0026 on GLM 5, and the same model is cheaper on every workload on this page.
How much do GPT-5.4 and GLM 5 cost per 1M tokens?
GPT-5.4 costs $2.50 for input and $15.00 for output. GLM 5 costs $1.00 and $3.20. Standard pay-as-you-go rates, as of 11 Feb 2026.
Which is better, GPT-5.4 or GLM 5?
On published benchmarks, GPT-5.4. It leads on 13 of the 22 figures both models report, including overall intelligence (Intelligence Index), where it scores 39 against 27.9.
Does GPT-5.4 or GLM 5 offer batch pricing?
GPT-5.4 only. Its batch input costs $1.25, 50% off its standard rate, and GLM 5 lists no batch tier at all.
Does GPT-5.4 or GLM 5 have a bigger context window?
GPT-5.4, at 1,050,000 tokens against 204,800. That is 845,200 more input tokens in a single request.

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