Model vs model

gemini-3.8-flash-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 · gemini-3.8-flash-high
Sources · All public sources

Winner

gemini-3.8-flash-high

Google

8benchmarks won

Chat / text

Versus · Everyday chatbot

gemini-3.8-flash-high leads this compare set for everyday chatbot.

gemini-3.8-flash-high8 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

gemini-3.8-flash-high case

Chat / text

A.X-K2 case

Chat / text
Reasoning / math / science

What changes the outcome

gemini-3.8-flash-high: 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	4191.7% exact aliasverified runtime Row details Raw value 41 Percentile 91.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	95.3%99.6% exact aliasverified runtime Row details Raw value 95.3% Percentile 99.6% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	47.8%94% exact aliasverified runtime Row details Raw value 47.8% Percentile 94% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	18.3%89.7% exact aliasverified runtime Row details Raw value 18.3% Percentile 89.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	56.6%86.9% exact aliasverified runtime Row details Raw value 56.6% Percentile 86.9% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	54.6%93.8% exact aliasverified runtime Row details Raw value 54.6% Percentile 93.8% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	44.8%75.7% exact aliasverified runtime Row details Raw value 44.8% Percentile 75.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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	81.3%92.1% exact aliasverified runtime Row details Raw value 81.3% Percentile 92.1% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Gemini 3.8 Flash (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

4191.7%

exact aliasverified runtime

Row details

Raw value: 41
Percentile: 91.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

95.3%99.6%

exact aliasverified runtime

Row details

Raw value: 95.3%
Percentile: 99.6%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

47.8%94%

exact aliasverified runtime

Row details

Raw value: 47.8%
Percentile: 94%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

18.3%89.7%

exact aliasverified runtime

Row details

Raw value: 18.3%
Percentile: 89.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

56.6%86.9%

exact aliasverified runtime

Row details

Raw value: 56.6%
Percentile: 86.9%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

54.6%93.8%

exact aliasverified runtime

Row details

Raw value: 54.6%
Percentile: 93.8%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

44.8%75.7%

exact aliasverified runtime

Row details

Raw value: 44.8%
Percentile: 75.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

81.3%92.1%

exact aliasverified runtime

Row details

Raw value: 81.3%
Percentile: 92.1%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Gemini 3.8 Flash (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

gemini-3.8-flash-high vs A.X-K2

gemini-3.8-flash-high

gemini-3.8-flash-high leads this compare set for everyday chatbot.

A.X-K2

gemini-3.8-flash-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.

gemini-3.8-flash-high vs A.X-K2

gemini-3.8-flash-high

gemini-3.8-flash-high leads this compare set for everyday chatbot.

A.X-K2

gemini-3.8-flash-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