Model vs model

MiMo-V2-Omni-0327 vs Agnes 2.5 Pro Alpha

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-0327
Sources · All public sources

Winner

MiMo-V2-Omni-0327

Unknown

0benchmarks won

Chat / text
Coding

Versus · Everyday chatbot

MiMo-V2-Omni-0327 leads this compare set for everyday chatbot.

MiMo-V2-Omni-03270 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

Model vs model

MiMo-V2-Omni-0327 vs Agnes 2.5 Pro Alpha

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-0327
Sources · All public sources

Winner

MiMo-V2-Omni-0327

Unknown

0benchmarks won

Chat / text
Coding

Versus · Everyday chatbot

MiMo-V2-Omni-0327 leads this compare set for everyday chatbot.

MiMo-V2-Omni-03270 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


Intelligence Index AA · index Text · Chat / text	37n/a exact aliasverified runtimeContext only Row details Raw value 37 Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	40n/a exact aliasverified runtimeContext only Row details Raw value 40 Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
GPQA AA · % Text · Reasoning / math / science	85.5%n/a exact aliasverified runtimeContext only Row details Raw value 85.5% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	87.6%n/a exact aliasverified runtimeContext only Row details Raw value 87.6% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Humanity's Last Exam AA · % Text · Reasoning / math / science	22.6%n/a exact aliasverified runtimeContext only Row details Raw value 22.6% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	33.6%n/a exact aliasverified runtimeContext only Row details Raw value 33.6% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
CritPt AA · % Text · Reasoning / math / science	0.9%n/a exact aliasverified runtimeContext only Row details Raw value 0.9% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	10.9%n/a exact aliasverified runtimeContext only Row details Raw value 10.9% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
SciCode AA · % Code · Coding	39.5%n/a exact aliasverified runtimeContext only Row details Raw value 39.5% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	42.2%n/a exact aliasverified runtimeContext only Row details Raw value 42.2% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
AA-Omniscience accuracy AA · % Text · Chat / text	17.8%n/a exact aliasverified runtimeContext only Row details Raw value 17.8% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	33.5%n/a exact aliasverified runtimeContext only Row details Raw value 33.5% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
AA-Omniscience non-hallucination AA · % Text · Chat / text	59.9%n/a exact aliasverified runtimeContext only Row details Raw value 59.9% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	11.9%n/a exact aliasverified runtimeContext only Row details Raw value 11.9% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Long Context Reasoning AA · % Document · Long context	69.7%n/a exact aliasverified runtimeContext only Row details Raw value 69.7% Percentile n/a Last updated recent Eligibility benchmark_derived_model Identity provider alias (0.94) Source label MiMo-V2-Omni-0327 Source row	73%n/a exact aliasverified runtimeContext only Row details Raw value 73% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a

Intelligence Index

AA · index

Text · Chat / text

37n/a

exact aliasverified runtimeContext only

Row details

Raw value: 37
Percentile: n/a
Last updated: recent
Eligibility: benchmark_derived_model
Identity: provider alias (0.94)
Source label: MiMo-V2-Omni-0327

MiMo-V2-Omni-0327 vs Agnes 2.5 Pro Alpha

MiMo-V2-Omni-0327

MiMo-V2-Omni-0327 leads this compare set for everyday chatbot.

Loading model comparison.

MiMo-V2-Omni-0327 vs Agnes 2.5 Pro Alpha

MiMo-V2-Omni-0327

MiMo-V2-Omni-0327 leads this compare set for everyday chatbot.

Agnes 2.5 Pro Alpha

MiMo-V2-Omni-0327 case

Agnes 2.5 Pro Alpha 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