Model vs model

GPT-6 Astra (High) 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 · GPT-6 Astra (High)
Sources · All public sources

Winner

GPT-6 Astra (High)

OpenAI

8benchmarks won

Reasoning / math / science
Vision understanding

Versus · Everyday chatbot

GPT-6 Astra (High) leads this compare set for everyday chatbot.

GPT-6 Astra (High)8 of 8 wins

Verified and stable

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

100%win share

Challenger

A.X-K2

Unknown

0benchmarks won

Chat / text
Reasoning / math / science

The cases in full

GPT-6 Astra (High) case

Reasoning / math / science
Vision understanding

A.X-K2 case

Chat / text
Reasoning / math / science

What changes the outcome

GPT-6 Astra (High): 117 visible benchmark gaps still leave room for the result to move.
A.X-K2: 124 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

8 of 132 benchmarks


Intelligence Index AA · index Text · Chat / text	5197.5% exact aliasverified runtime Row details Raw value 51 Percentile 97.5% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) Source row	23n/a exact aliasverified runtimeContext only Row details Raw value 23 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	94.9%99.4% exact aliasverified runtime Row details Raw value 94.9% Percentile 99.4% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) 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	53.1%97.2% exact aliasverified runtime Row details Raw value 53.1% Percentile 97.2% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) 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	28.9%95.8% exact aliasverified runtime Row details Raw value 28.9% Percentile 95.8% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) 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	55.4%81.3% exact aliasverified runtime Row details Raw value 55.4% Percentile 81.3% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) Source row	41%n/a exact aliasverified runtimeContext only Row details Raw value 41% 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	61.1%97.1% exact aliasverified runtime Row details Raw value 61.1% Percentile 97.1% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) 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	55.2%83.9% exact aliasverified runtime Row details Raw value 55.2% Percentile 83.9% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) 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
Long Context Reasoning AA · % Document · Long context	80%88.6% exact aliasverified runtime Row details Raw value 80% Percentile 88.6% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-6 Astra (High) Source row	70%n/a exact aliasverified runtimeContext only Row details Raw value 70% 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

5197.5%

exact aliasverified runtime

Row details

Raw value: 51
Percentile: 97.5%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

Source row

23n/a

exact aliasverified runtimeContext only

Row details

Raw value: 23
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

94.9%99.4%

exact aliasverified runtime

Row details

Raw value: 94.9%
Percentile: 99.4%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

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

53.1%97.2%

exact aliasverified runtime

Row details

Raw value: 53.1%
Percentile: 97.2%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

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

28.9%95.8%

exact aliasverified runtime

Row details

Raw value: 28.9%
Percentile: 95.8%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

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

55.4%81.3%

exact aliasverified runtime

Row details

Raw value: 55.4%
Percentile: 81.3%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

Source row

41%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 41%
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

61.1%97.1%

exact aliasverified runtime

Row details

Raw value: 61.1%
Percentile: 97.1%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

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

55.2%83.9%

exact aliasverified runtime

Row details

Raw value: 55.2%
Percentile: 83.9%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

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

Long Context Reasoning

AA · %

Document · Long context

80%88.6%

exact aliasverified runtime

Row details

Raw value: 80%
Percentile: 88.6%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-6 Astra (High)

Source row

70%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 70%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: A.X-K2

Source row

n/a

GPT-6 Astra (High) vs A.X-K2

GPT-6 Astra (High)

GPT-6 Astra (High) leads this compare set for everyday chatbot.

A.X-K2

GPT-6 Astra (High) 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.

GPT-6 Astra (High) vs A.X-K2

GPT-6 Astra (High)

GPT-6 Astra (High) leads this compare set for everyday chatbot.

A.X-K2

GPT-6 Astra (High) 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