Model vs model

mimo-v2-omni 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 · mimo-v2-omni
Sources · All public sources

Winner

mimo-v2-omni

Unknown

0benchmarks won

Chat / text
Coding

Versus · Everyday chatbot

mimo-v2-omni leads this compare set for everyday chatbot.

mimo-v2-omni0 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

mimo-v2-omni case

Chat / text
Coding

A.X-K2 case

Chat / text
Reasoning / math / science

What changes the outcome

mimo-v2-omni: 124 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

8 of 138 benchmarks


Intelligence Index AA · index Text · Chat / text	36n/a exact aliasverified runtimeContext only Row details Raw value 36 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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
GPQA AA · % Text · Reasoning / math / science	82.8%n/a exact aliasverified runtimeContext only Row details Raw value 82.8% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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	22.1%n/a exact aliasverified runtimeContext only Row details Raw value 22.1% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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	1.1%n/a exact aliasverified runtimeContext only Row details Raw value 1.1% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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	36.7%n/a exact aliasverified runtimeContext only Row details Raw value 36.7% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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	19.3%n/a exact aliasverified runtimeContext only Row details Raw value 19.3% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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	51.1%n/a exact aliasverified runtimeContext only Row details Raw value 51.1% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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	71.7%n/a exact aliasverified runtimeContext only Row details Raw value 71.7% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni 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

36n/a

exact aliasverified runtimeContext only

Row details

Raw value: 36
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

GPQA

AA · %

Text · Reasoning / math / science

82.8%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 82.8%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

22.1%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 22.1%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

1.1%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 1.1%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

36.7%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 36.7%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

19.3%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 19.3%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

51.1%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 51.1%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

71.7%n/a

exact aliasverified runtimeContext only

Row details

Raw value: 71.7%
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni

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

mimo-v2-omni vs A.X-K2

mimo-v2-omni

mimo-v2-omni leads this compare set for everyday chatbot.

A.X-K2

mimo-v2-omni 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.

mimo-v2-omni vs A.X-K2

mimo-v2-omni

mimo-v2-omni leads this compare set for everyday chatbot.

A.X-K2

mimo-v2-omni 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