System Card
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Zhipu (智谱)
Zhipu AI
GLM
#15
of 28 · general
GLM-5.3
753B
params · MoE
1M
context
$1.4
/
$4.4
per 1M in / out
2026-08-14
released
weights ↗
repo ↗
50
100
Coding 47 · #11 of 28
Agents 47 · #14 of 29
Cyber 42 · #4 of 24
Engineering 42 · #13 of 26
Math 32 · #16 of 26
Health 47 · #11 of 24
Legal 41 · #17 of 27
Professional 50 · #13 of 28
Writing 59 · #6 of 21
Instruct 42 · #14 of 25
Hallucination 32 · #18 of 26
Multimodal: no reading
Coding
47
#11
Agents
47
#14
Cyber
42
#4
Engineering
42
#13
Math
32
#16
Health
47
#11
Legal
41
#17
Professional
50
#13
Writing
59
#6
Instruct
42
#14
Hallucination
32
#18
Multimodal
—
MiMo Pro
DeepSeek Flash
Claude Haiku
Grok
GLM Flash
MiniMax Flash
History
ECI
AIME
GPQA
APEX-Agents
CritPt
SciCode
WebDev Arena
ECI
140
145
150
155
160
Jan 2026
Apr 2026
Jul 2026
GLM-4.7 · $0.4/M in · 2025-12-22 · still served · Epoch Capabilities Index 143.6 ECI points
GLM-5 · $0.6/M in · 2026-02-11 · still served · Epoch Capabilities Index 145.8 ECI points
GLM-5.1 · $0.966/M in · 2026-04-07 · still served · Epoch Capabilities Index 149.8 ECI points
GLM-5.2 · no price on record · 2026-06-16 · still served · Epoch Capabilities Index 151.9 ECI points
GLM-5.3 · $0.055/M in · 2026-08-14 · still served · Epoch Capabilities Index 156.0 ECI points
5.2
5.1
5
4.7
Zhipu AI
older → newer
$ / M input tokens
i
5 of 176 priced models · price is a third-party claim, not a vendor quote
Epoch Capabilities Index against input price
Model
$ / M input
ECI points
Released
GLM-4.7
0.4
143.6
2025-12-22
GLM-5
0.6
145.8
2026-02-11
GLM-5.1
0.966
149.8
2026-04-07
GLM-5.2
—
151.9
2026-06-16
GLM-5.3
0.055
156.0
2026-08-14
Usage
momentum
usage
users
versions
1.5T
tokens
Aug 14 – Oct 6
▼ 0%
7d
400B
800B
1.2T
1.6T
Aug 14
Sep 1
Oct 1
Geography
United States
19.7%
China
15.4%
Germany
4.8%
Brazil
3.8%
Japan
3.7%
Singapore
2.7%
Hong Kong
2.7%
India
2.7%
Spain
2.6%
United Kingdom
2.4%
rest
81
39.5%
Effort
All sources
$ / task
GLM-5.3
GLM-5.3 Flash
% of best score
60
70
80
90
100
0.3×
0.5×
0.7×
1×
× the best effort’s cost · log scale
Low
High
Max
Measured
≈ imputed · amber dot = lab-self-reported among the sources
GPQA Diamond
89.5%
#18
HLE
52.4%
#8
MMLU-Pro
86.8%
#6
LiveBench
76.1%
#13
SWE-bench V
95.4%
#2
LiveCodeBench
80.5%
#10
SciCode
59.0%
#9
CritPt
19.1%
#14
Terminal-Bench
71.5%
#10
APEX Agents
56.6%
#9
GDPval
57.5%
#9
Arena
1478
#10
AA Index
44.8
#13
Vals Index
53.5
#15
Epoch Capabilities Index
156.0
#12
Neighbors
Xiaomi
MiMo Pro
→ broader · cheaper
DeepSeek Flash
→ less factual · weaker professional
Anthropic
Claude Haiku
→ looser instructions · cheaper
xAI
Grok
→ more factual · pricier
MiniMax
MiniMax Flash
→ weaker coding