Model vs model

qwen3-235b-a22b-instruct-2507 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 · qwen3-235b-a22b-instruct-2507
Sources · All public sources

Winner

qwen3-235b-a22b-instruct-2507

Qwen

7benchmarks won

Chat / text
Professional reasoning

Versus · Everyday chatbot

qwen3-235b-a22b-instruct-2507 leads this compare set for everyday chatbot.

qwen3-235b-a22b-instruct-25077 of 7 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

qwen3-235b-a22b-instruct-2507 case

Chat / text
Professional reasoning

A.X-K2 case

Chat / text
Reasoning / math / science

What changes the outcome

qwen3-235b-a22b-instruct-2507: 116 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

Advanced framings and X composerNeutral, contrarian, open-model, and skeptical variants

Neutral analystLead with the recommendation, then attach the reason and warning.qwen3-235b-a22b-instruct-2507 leads this compare set for everyday chatbot.

ContrarianPush against the easy read and keep the strongest alternative live.Contrarian take: qwen3-235b-a22b-instruct-2507 leads this compare set for everyday chatbot.

Open-model angleBias the framing toward open weights and source transparency.Open-model angle: Model compare · qwen3-235b-a22b-instruct-2507 vs A.X-K2

Don't trust the headlineLead with the warning before you let the claim travel.Don't trust the headline: Model compare · qwen3-235b-a22b-instruct-2507 vs A.X-K2

Decisive benchmarks

7 of 132 benchmarks


Intelligence Index AA · index Text · Chat / text	1253.7% exact aliasverified runtime Row details Raw value 12 Percentile 53.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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	75.3%64.7% exact aliasverified runtime Row details Raw value 75.3% Percentile 64.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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	11.1%59.7% exact aliasverified runtime Row details Raw value 11.1% Percentile 59.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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%50.1% exact aliasverified runtime Row details Raw value 0% Percentile 50.1% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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
AA-Omniscience accuracy AA · % Text · Chat / text	18.7%45.9% exact aliasverified runtime Row details Raw value 18.7% Percentile 45.9% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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	22.8%55.6% exact aliasverified runtime Row details Raw value 22.8% Percentile 55.6% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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	33.9%37.4% exact aliasverified runtime Row details Raw value 33.9% Percentile 37.4% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3 235B A22B 2507 Instruct 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

1253.7%

exact aliasverified runtime

Row details

Raw value: 12
Percentile: 53.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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

75.3%64.7%

exact aliasverified runtime

Row details

Raw value: 75.3%
Percentile: 64.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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

11.1%59.7%

exact aliasverified runtime

Row details

Raw value: 11.1%
Percentile: 59.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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%50.1%

exact aliasverified runtime

Row details

Raw value: 0%
Percentile: 50.1%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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

AA-Omniscience accuracy

AA · %

Text · Chat / text

18.7%45.9%

exact aliasverified runtime

Row details

Raw value: 18.7%
Percentile: 45.9%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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

22.8%55.6%

exact aliasverified runtime

Row details

Raw value: 22.8%
Percentile: 55.6%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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

33.9%37.4%

exact aliasverified runtime

Row details

Raw value: 33.9%
Percentile: 37.4%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3 235B A22B 2507 Instruct

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

qwen3-235b-a22b-instruct-2507 vs A.X-K2

qwen3-235b-a22b-instruct-2507

qwen3-235b-a22b-instruct-2507 leads this compare set for everyday chatbot.

A.X-K2

qwen3-235b-a22b-instruct-2507 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.

qwen3-235b-a22b-instruct-2507 vs A.X-K2

qwen3-235b-a22b-instruct-2507

qwen3-235b-a22b-instruct-2507 leads this compare set for everyday chatbot.

A.X-K2

qwen3-235b-a22b-instruct-2507 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