Model profile

MiMo-V2-Omni

Name: MiMo-V2-Omni
Author: Xiaomi

XiaomiSupersededReleased Mar 18, 2026

Data verified July 23, 2026

Superseded:Xiaomi has released newer models in this line —MiMo-V2.5

Overall Score

63.15Public #40 of 200Verified #31 of 99

Arena Elo

1430

Eligible category ranks

0of 8

Price (1M tokens)

Not listedAPI pricing

Speed

Not listed

Context

262K

Evidence coverage

14 of 323 tracked benchmarks are published. 1 is verified and 13 provisional. 6 of 8 categories are measured.

Updated July 23, 2026Methodology

Published / tracked: 14 / 323
Verified: 1
Provisional: 13
Categories with evidence: 6 / 8

Agentic2 benchmarks
Mixed evidence
Coding2 benchmarks
Reported
Reasoning2 benchmarks
Reported
Knowledge6 benchmarks
Reported
Math0 benchmarks
Not measured
Multilingual0 benchmarks
Not measured
Multimodal1 benchmark
Reported
Inst. Following1 benchmark
Reported

ProprietaryReasoning

Confidence:

Low

base

MiMo-V2-Omni ranks #40 out of 200 models on the public leaderboard with an overall score of 63.15/100. It also ranks #31 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

MiMo-V2-Omni is a proprietary model with a 262K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile currently has 14 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 63.15–64.22

Claude Opus 4.5
Anthropic
#3464.22
Claude Opus 4.5 is #34 with a score of 64.22.
Compare
Claude Opus 4.6 (Adaptive)
Anthropic
#3564.18
Claude Opus 4.6 (Adaptive) is #35 with a score of 64.18.
Compare
MiniMax M2.7
MiniMax
#3664.11
MiniMax M2.7 is #36 with a score of 64.11.
Compare
GLM-5.2
Z.AI
#3763.96
GLM-5.2 is #37 with a score of 63.96.
Compare
GPT-5.5 Pro
OpenAI
#3863.69
GPT-5.5 Pro is #38 with a score of 63.69.
Compare
GLM-5V-Turbo
Z.AI
#3963.5
GLM-5V-Turbo is #39 with a score of 63.5.
Compare
MiMo-V2-OmniCurrent model
Xiaomi
#4063.15
MiMo-V2-Omni is #40 with a score of 63.15.

Category percentile

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
Category	Score	Rank	Percentile	Weight	Benchmarks	Evidence
AgenticWeight 22%2 benchmarksMixed sources	Score pending	Not ranked	Not available	22%	2 benchmarks	Mixed sources
CodingRank Not rankedWeight 20%2 benchmarksReported	74.8	Not ranked	Not available	20%	2 benchmarks	Reported
ReasoningWeight 17%2 benchmarksReported	Score pending	Not ranked	Not available	17%	2 benchmarks	Reported
KnowledgeWeight 12%6 benchmarksReported	Score pending	Not ranked	Not available	12%	6 benchmarks	Reported
MathWeight 5%0 benchmarksNot measured	Not measured	Not ranked	Not available	5%	0 benchmarks	Not measured
MultilingualWeight 7%0 benchmarksNot measured	Not measured	Not ranked	Not available	7%	0 benchmarks	Not measured
MultimodalRank Not rankedWeight 12%1 benchmarkReported	76.8	Not ranked	Not available	12%	1 benchmark	Reported
Inst. FollowingWeight 5%1 benchmarkReported	Score pending	Not ranked	Not available	5%	1 benchmark	Reported

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
View	Elo	Confidence interval	Votes
Text Overall	1430	±5.7	19,464
Coding	1488	±8.9	5,541
Math	1437	±20.0	909
Instruction Following	1427	±8.3	6,505
Creative Writing	1395	±11.2	3,215
Multi-turn	1451	±11.2	3,287
Hard Prompts	1458	±6.8	12,903
Hard Prompts (English)	1466	±8.4	6,268
Longer Query	1449	±7.9	8,420

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic2 benchmarks

Claw-EvalBenchmark exact

45.2%Display only

Source: Claw-Eval leaderboardProvenance: Claw-Eval reports this model as mimo_v2_omni in the official 2026-05-09 leaderboard snapshot. BenchLM stores the primary Pass^3 value on the local Claw-Eval display key.

τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

91.2%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Coding2 benchmarks

SWE-bench VerifiedReported

Software Engineering Benchmark Verified

74.8%Weighted 16%

Source: Reported upstream sourceProvenance: Reported row carried from an upstream public source. Displayable on BenchLM, but not treated as verified unless explicitly marked otherwise.

AA-SciCodeReported

Artificial Analysis SciCode

36.7%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Reasoning2 benchmarks

AA-LCRReported

Artificial Analysis Long Context Reasoning

66.7%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

CritPtReported

Critical Physics Tasks

1.1%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Knowledge6 benchmarks

Artificial Analysis Intelligence IndexReported

35.0%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

82.8%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

AA-HLEReported

Artificial Analysis Humanity's Last Exam

19.9%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-17.4%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

18.7%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

44.4%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Multimodal1 benchmark

AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

69.9%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Inst. Following1 benchmark

AA-IFBenchReported

Artificial Analysis IFBench

53.5%Display only

Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Frequently Asked Questions

How does MiMo-V2-Omni perform overall in AI benchmarks?

MiMo-V2-Omni has 14 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is MiMo-V2-Omni good for knowledge and understanding?

MiMo-V2-Omni has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is MiMo-V2-Omni good for coding and programming?

MiMo-V2-Omni has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is MiMo-V2-Omni good for reasoning and logic?

MiMo-V2-Omni has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is MiMo-V2-Omni good for agentic tool use and computer tasks?

MiMo-V2-Omni has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is MiMo-V2-Omni good for multimodal and grounded tasks?

MiMo-V2-Omni has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is MiMo-V2-Omni good for instruction following?

MiMo-V2-Omni has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Does MiMo-V2-Omni have full benchmark coverage on BenchLM?

Not yet. MiMo-V2-Omni currently has 14 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of MiMo-V2-Omni?

MiMo-V2-Omni has a published context window of 262K, which determines how much text it can process in a single interaction.

Related Resources

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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MiMo-V2-Omni

Evidence coverage

Evidence by category

Peer position

Category percentile

Category evidence

Chatbot Arena performance

Benchmark Details

Frequently Asked Questions

How does MiMo-V2-Omni perform overall in AI benchmarks?

Is MiMo-V2-Omni good for knowledge and understanding?

Is MiMo-V2-Omni good for coding and programming?

Is MiMo-V2-Omni good for reasoning and logic?

Is MiMo-V2-Omni good for agentic tool use and computer tasks?

Is MiMo-V2-Omni good for multimodal and grounded tasks?

Is MiMo-V2-Omni good for instruction following?

Does MiMo-V2-Omni have full benchmark coverage on BenchLM?

What is the context window size of MiMo-V2-Omni?

Related Resources

Choose with this week’s evidence