VerdictPal · editorial desk · updated 16 Oct 2026VerdictPal
Compare · Two models, head-to-head

Pick two models. See the diff.

Composite scores, benchmark ranks, capability grids, and pricing per million tokens. All sourced from the same data that powers the model atlas.

GLM-5.3 vs GLM-5.3-Flash

GLM-5.31stats won
Tied1stats
GLM-5.3-Flash4stats won
Spec showdown

Capacity, price, freshness.

GLM-5.3vsGLM-5.3-Flash

GLM-5.3-Flash leads on composite score (69 vs 54), with deeper benchmark coverage across more families. GLM-5.3-Flash has the higher benchmark mix (69 vs 54). GLM-5.3-Flash is significantly cheaper at $0.15/1M input vs $1.4/1M input. GLM-5.3-Flash's 1M context window dwarfs GLM-5.3's 0 — a meaningful difference for long-document or codebase work.

  1. Composite score
    GLM-5.354GLM-5.3-Flash69Winner on this row
  2. Benchmark mix
    GLM-5.354GLM-5.3-Flash69Winner on this row
  3. Context window
    GLM-5.3UnlistedGLM-5.3-Flash1MWinner on this row
  4. Max output
    GLM-5.3—GLM-5.3-Flash—
  5. Input price / 1M (lower wins)
    GLM-5.3$1.4GLM-5.3-Flash$0.15Winner on this row
  6. Output speed (AA default API)
    GLM-5.366 t/sWinner on this rowGLM-5.3-Flash61 t/s
Composite score
54
vs
69Winner on this row
Benchmark mix
54
vs
69Winner on this row
Context window
Unlisted
vs
1MWinner on this row
Max output
—
vs
—
Input price / 1M (lower wins)
$1.4
vs
$0.15Winner on this row
Output speed (AA default API)
66 t/sWinner on this row
vs
61 t/s
Capability grid

What each model can do.

Modalities

GLM-5.3GLM-5.3-Flash
Text●●
Image——
Audio——
Video——
Code●●
Tool use●●
Reasoning●●

Access

GLM-5.3GLM-5.3-Flash
API●●
Consumer app——
Open weights—●
Managed cloud●—
On-device——
Family profile

Top score per benchmark family.

Reasoning
92Winner on this row
vs
91
Coding
59Winner on this row
vs
52
Agentic
84
vs
84
Long context
80
vs
80
Benchmark ranks

Every shared benchmark, side by side.

Reasoning

GPQA Diamond#29/184 · #33/184
91.7%Winner on this row
vs
91.2%
Humanity's Last Exam#34/186 · #44/186
42.3%Winner on this row
vs
39.9%

Coding

SciCode#6/97 · #38/97
59%Winner on this row
vs
51.6%

Agentic

Terminal-Bench#18/167 · #16/167
83.9%
vs
84.27%Winner on this row

Long context

AA-LCR#45/184 · #41/184
79.67%
vs
80%Winner on this row

Performance

AA output speed#92/195 · #100/195
66 t/sWinner on this row
vs
61 t/s
Dossier facts

Dates, sources, fineprint.

GLM-5.3GLM-5.3-Flash
ProviderZhipuZhipu
FamilyGLMGLM
Release date2026-08-142026-08-26
Knowledge cutoffunpublishedunpublished
Context windowUnlisted1M
Max output——
Input price /1M$1.4$0.15
Output price /1M$4.4$0.50
Statussolidsolid
Composite score5469
Intelligence score5469
Intel sourcecompositecomposite
Benchmark rows86
Source count21
Freshnessfreshfresh
Pricing checked2026-08-242026-09-01
Ecosystem

Which tools wrap each model.

GLM-5.3

Not listed in any tool yet.

GLM-5.3-Flash

Not listed in any tool yet.

Verdict

Which model to actually pick.

GLM-5.3-Flash leads on composite score (69 vs 54), with deeper benchmark coverage across more families. GLM-5.3-Flash has the higher benchmark mix (69 vs 54). GLM-5.3-Flash is significantly cheaper at $0.15/1M input vs $1.4/1M input. GLM-5.3-Flash's 1M context window dwarfs GLM-5.3's 0 — a meaningful difference for long-document or codebase work.

Questions this comparison answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

Should you use GLM-5.3 or GLM-5.3-Flash?

GLM-5.3-Flash leads on composite score (69 vs 54), with deeper benchmark coverage across more families. GLM-5.3-Flash has the higher benchmark mix (69 vs 54). GLM-5.3-Flash is significantly cheaper at $0.15/1M input vs $1.4/1M input. GLM-5.3-Flash's 1M context window dwarfs GLM-5.3's 0 — a meaningful difference for long-document or codebase work.

Is GLM-5.3 or GLM-5.3-Flash cheaper?

GLM-5.3: $1.4 / $4.4. GLM-5.3-Flash: $0.15 / $0.50.

How do the GLM-5.3 and GLM-5.3-Flash context windows compare?

GLM-5.3: Unlisted. GLM-5.3-Flash: 1M.