Model vs model

GPT-5.6 Luna 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-5.6 Luna
Sources · All public sources

Winner

GPT-5.6 Luna

OpenAI

8benchmarks won

Coding
Professional reasoning

Versus · Everyday chatbot

GPT-5.6 Luna leads this compare set for everyday chatbot.

GPT-5.6 Luna8 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-5.6 Luna case

Coding
Professional reasoning

A.X-K2 case

Chat / text
Reasoning / math / science

What changes the outcome

GPT-5.6 Luna: 58 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	1663.2% exact aliasverified runtime Row details Raw value 16 Percentile 63.2% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (Non-reasoning) 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	64.5%45.8% exact aliasverified runtime Row details Raw value 64.5% Percentile 45.8% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (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	7.2%47.4% exact aliasverified runtime Row details Raw value 7.2% Percentile 47.4% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (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	0.3%59.5% exact aliasverified runtime Row details Raw value 0.3% Percentile 59.5% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (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	40.4%31.3% exact aliasverified runtime Row details Raw value 40.4% Percentile 31.3% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (Non-reasoning) 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	28.6%71.3% exact aliasverified runtime Row details Raw value 28.6% Percentile 71.3% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (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	7.4%16.6% exact aliasverified runtime Row details Raw value 7.4% Percentile 16.6% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (Max) 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	42.7%44.2% exact aliasverified runtime Row details Raw value 42.7% Percentile 44.2% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label GPT-5.6 Luna (Non-reasoning) 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

1663.2%

exact aliasverified runtime

Row details

Raw value: 16
Percentile: 63.2%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (Non-reasoning)

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

64.5%45.8%

exact aliasverified runtime

Row details

Raw value: 64.5%
Percentile: 45.8%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (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

7.2%47.4%

exact aliasverified runtime

Row details

Raw value: 7.2%
Percentile: 47.4%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (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

0.3%59.5%

exact aliasverified runtime

Row details

Raw value: 0.3%
Percentile: 59.5%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (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

40.4%31.3%

exact aliasverified runtime

Row details

Raw value: 40.4%
Percentile: 31.3%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (Non-reasoning)

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

28.6%71.3%

exact aliasverified runtime

Row details

Raw value: 28.6%
Percentile: 71.3%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (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

7.4%16.6%

exact aliasverified runtime

Row details

Raw value: 7.4%
Percentile: 16.6%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (Max)

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

42.7%44.2%

exact aliasverified runtime

Row details

Raw value: 42.7%
Percentile: 44.2%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: GPT-5.6 Luna (Non-reasoning)

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-5.6 Luna vs A.X-K2

GPT-5.6 Luna

GPT-5.6 Luna leads this compare set for everyday chatbot.

A.X-K2

GPT-5.6 Luna 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-5.6 Luna vs A.X-K2

GPT-5.6 Luna

GPT-5.6 Luna leads this compare set for everyday chatbot.

A.X-K2

GPT-5.6 Luna 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