Model vs model

glm-5.2-max vs A.X-K2

A debate-ready pair page: current winner, strongest alternative, decisive benchmarks, and the warning that should travel with the claim.

Use case · Everyday chatbot
Winner · glm-5.2-max
Sources · All public sources

Winner

glm-5.2-max

Zhipu

0benchmarks won

Search / tool use
Professional reasoning

Versus · Everyday chatbot

glm-5.2-max leads this compare set for everyday chatbot.

glm-5.2-max0 of 0 wins

Thin verified coverage

0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.

Close calls: 0
Sources: All public

Full compare workspace Disagreement page

0%win share

Challenger

A.X-K2

Unknown

0benchmarks won

Chat / text
Reasoning / math / science

The cases in full

glm-5.2-max case

Search / tool use
Professional reasoning

A.X-K2 case

Chat / text
Reasoning / math / science

What changes the outcome

glm-5.2-max: 63 visible benchmark gaps still leave room for the result to move.
A.X-K2: 126 visible benchmark gaps still leave room for the result to move.

Why this result is surprising

The visible shared evidence is more decisive than usual for this compare set.
Very few shared benchmarks are decisively separating these models.

Why this is not a clean win

0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.
A.X-K2 remains the strongest alternative once you change use case, mode, or missing-evidence assumptions.

Open full compare workspace Open evidence page Open disagreement page

Decisive benchmarks

12 of 138 benchmarks


Intelligence Index AA · index Text · Chat / text	35n/a exact aliasverified runtimeContext only Row details Raw value 35 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	35n/a exact aliasverified runtimeContext only Row details Raw value 35 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
Coding Index AA · index Code · Coding	46n/a exact aliasverified runtimeContext only Row details Raw value 46 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	39n/a exact aliasverified runtimeContext only Row details Raw value 39 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
Agentic Index AA · index Code · Coding	35n/a exact aliasverified runtimeContext only Row details Raw value 35 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	26n/a exact aliasverified runtimeContext only Row details Raw value 26 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
Openness Index AA · index Text · Chat / text	44n/a exact aliasverified runtimeContext only Row details Raw value 44 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (max) Source row	50n/a exact aliasverified runtimeContext only Row details Raw value 50 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
GPQA AA · % Text · Reasoning / math / science	68.6%n/a exact aliasverified runtimeContext only Row details Raw value 68.6% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	85.7%n/a exact aliasverified runtimeContext only Row details Raw value 85.7% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
Humanity's Last Exam AA · % Text · Reasoning / math / science	9.8%n/a exact aliasverified runtimeContext only Row details Raw value 9.8% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	29.6%n/a exact aliasverified runtimeContext only Row details Raw value 29.6% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
CritPt AA · % Text · Reasoning / math / science	3.1%n/a exact aliasverified runtimeContext only Row details Raw value 3.1% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	8.9%n/a exact aliasverified runtimeContext only Row details Raw value 8.9% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
SciCode AA · % Code · Coding	36.1%n/a exact aliasverified runtimeContext only Row details Raw value 36.1% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	38.5%n/a exact aliasverified runtimeContext only Row details Raw value 38.5% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
AA-Omniscience accuracy AA · % Text · Chat / text	20.3%n/a exact aliasverified runtimeContext only Row details Raw value 20.3% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	18.6%n/a exact aliasverified runtimeContext only Row details Raw value 18.6% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
AA-Omniscience non-hallucination AA · % Text · Chat / text	66.3%n/a exact aliasverified runtimeContext only Row details Raw value 66.3% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	67%n/a exact aliasverified runtimeContext only Row details Raw value 67% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
GDPval-AA AA · rating Text · Professional reasoning	1,393n/a exact aliasverified runtimeContext only Row details Raw value 1,393 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	1,109n/a exact aliasverified runtimeContext only Row details Raw value 1,109 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a
Long Context Reasoning AA · % Document · Long context	45%n/a exact aliasverified runtimeContext only Row details Raw value 45% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label GLM-5.2 (Non-reasoning) Source row	66%n/a exact aliasverified runtimeContext only Row details Raw value 66% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label A.X-K2 Source row	n/a

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Intelligence Index

AA · index

Text · Chat / text

35n/a

exact aliasverified runtimeContext only

Row details

Raw value: 35
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

35n/a

exact aliasverified runtimeContext only

Row details

Raw value: 35
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

Coding Index

AA · index

Code · Coding

46n/a

exact aliasverified runtimeContext only

Row details

Raw value: 46
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

39n/a

exact aliasverified runtimeContext only

Row details

Raw value: 39
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

Agentic Index

AA · index

Code · Coding

35n/a

exact aliasverified runtimeContext only

Row details

Raw value: 35
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

26n/a

exact aliasverified runtimeContext only

Row details

Raw value: 26
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

Openness Index

AA · index

Text · Chat / text

44n/a

exact aliasverified runtimeContext only

Row details

Raw value: 44
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (max)

Source row

50n/a

exact aliasverified runtimeContext only

Row details

Raw value: 50
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

GPQA

AA · %

Text · Reasoning / math / science

68.6%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 68.6%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

85.7%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 85.7%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

Humanity's Last Exam

AA · %

Text · Reasoning / math / science

9.8%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 9.8%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

29.6%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 29.6%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

CritPt

AA · %

Text · Reasoning / math / science

3.1%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 3.1%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

8.9%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 8.9%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

SciCode

AA · %

Code · Coding

36.1%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 36.1%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

38.5%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 38.5%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

AA-Omniscience accuracy

AA · %

Text · Chat / text

20.3%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 20.3%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

18.6%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 18.6%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

AA-Omniscience non-hallucination

AA · %

Text · Chat / text

66.3%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 66.3%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

67%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 67%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

GDPval-AA

AA · rating

Text · Professional reasoning

1,393n/a

exact aliasverified runtimeContext only

Row details

Raw value: 1,393
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

1,109n/a

exact aliasverified runtimeContext only

Row details

Raw value: 1,109
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

Long Context Reasoning

AA · %

Document · Long context

45%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 45%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: GLM-5.2 (Non-reasoning)

Source row

66%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 66%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

glm-5.2-max vs A.X-K2

glm-5.2-max

glm-5.2-max leads this compare set for everyday chatbot.

A.X-K2

glm-5.2-max case

A.X-K2 case

What changes the outcome

Why this result is surprising

Why this is not a clean win

Share the recommendation with the source data attached.

Open or copy the stable surfaces

Use the exact public framing

Pick the voice before you post

Compose a post that keeps the warning attached

Decisive benchmarks

Loading model comparison.

glm-5.2-max vs A.X-K2

glm-5.2-max

glm-5.2-max leads this compare set for everyday chatbot.

A.X-K2

glm-5.2-max case

A.X-K2 case

What changes the outcome

Why this result is surprising

Why this is not a clean win

Share the recommendation with the source data attached.

Open or copy the stable surfaces

Use the exact public framing

Pick the voice before you post

Compose a post that keeps the warning attached

Decisive benchmarks