BenchLeader

GLM 5.3 vs GPT-5.4 Pro

Verdict
  • GPT-5.4 Pro leads on quality: 64.3 vs 60.0.
  • GLM 5.3 (max) is stronger in agents & tools, coding, human preference, maths.
  • GPT-5.4 Pro is stronger in knowledge, reasoning, instruction following, multimodal.
  • GLM 5.3 (max) is 31× cheaper ($2.15 vs $67.50 per 1M blended).
  • GLM 5.3 (max) streams 66.1× faster (66 vs 1 tokens per second).
MetricGLM 5.3 (max)GPT-5.4 Pro
BenchLeader Index60.064.3
Agents & tools score52.8
Coding score64.3
Human preference score68.9
Knowledge score55.873.6
Maths score60.0
Reasoning score66.975.3
Instruction following score67.3
Multimodal score69.8
Blended price $/M$2.15$67.50
Output speed66 tok/s1 tok/s
Time to first answer33.5 s6.3 s
Context window1M1.1M
GPQA Diamond90.9%
FrontierMath Tiers 1–368.8%
FrontierMath Tier 429.3%
OTIS Mock AIME91.1%
SimpleQA Verified41.0%
Humanity's Last Exam44.3%
Terminal-Bench41.8%
SimpleBench74.1%
SciCode56.5%
WeirdML75.4%
ProofBench49.0%
Epoch Capabilities Index158.9
LMArena Text1486
LMArena Hard Prompts1509
LMArena Coding1526
LMArena WebDev1614
LMArena Agent2.6
LiveCodeBench80.5%
MMLU-Pro86.8%
IOI68.4%
LegalBench84.8%
TaxEval72.4%
Terminal-Bench 2.1 (Vals)71.5%
SWE-bench (Vals)95.4%
GPQA Diamond (Vals)88.1%
Vals Index57.0
MultiChallenge69.2%
VISTA53.9%
MultiNRC62.3%
TutorBench56.6%

Data as of 2026-09-13. Best configuration of each model; every score links to its source on the model pages.

GLM 5.3 vs GPT-5.4 Pro: questions

Is GLM 5.3 better than GPT-5.4 Pro?
GPT-5.4 Pro leads on quality: 64.3 vs 60.0. The BenchLeader Index combines every independent quality benchmark; GPT-5.4 Pro is ahead overall as of 2026-09-13, but check the category scores for your use.
Which is cheaper, GLM 5.3 or GPT-5.4 Pro?
GLM 5.3 is cheaper: $2.15 against $67.50 per million tokens, blended at three input tokens per output token.
Which is faster, GLM 5.3 or GPT-5.4 Pro?
GLM 5.3 streams faster: 66 against 1 output tokens per second.
Which has the larger context window?
GPT-5.4 Pro accepts more context: 1.1M against 1M tokens.