Model comparison

Claude Haiku 4.5 vs MiMo-V2-Omni

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 39.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Claude Haiku 4.5 Anthropic

39.3

Rank #155 Confirmed

MiMo-V2-Omni Xiaomi

42.9

Rank #91 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 2 categories and MiMo-V2-Omni in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2-Omni leads 28.6 to 15.1.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 200K.

Side by side

Claude Haiku 4.5 and MiMo-V2-Omni specifications
Claude Haiku 4.5MiMo-V2-Omni
ProviderAnthropicXiaomi
Noometry Index39.342.9
Released2025-10-152026-03-18
WeightsProprietaryProprietary
Context window200K262K
Max output64K131K
Input $ / M tokens$1$0.14
Output $ / M tokens$5$0.28
Results tracked5318

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Category by category

Coding Claude Haiku 4.5 leads

Claude Haiku 4.5: 43.9 (#71), MiMo-V2-Omni: 42.7 (#87)

Coding benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Coding14541467
SWE-bench Verified (bash only)66.6%—
LMArena WebDev1330—
SWE-bench Multilingual64.7%—
SciCode43.3%—
WeirdML45.4%—
ALE-Bench653.48—

Agentic & Tool Use Not comparable

Claude Haiku 4.5: 33.5 (#50), MiMo-V2-Omni: —

Agentic & Tool Use benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
Terminal-Bench35.5%—
Berkeley Function Calling Leaderboard68.7%—
DeepResearch Bench45.5%—
BALROG31.2%—
ExploitBench13.7%—
Vending-Bench 2458.89—

Reasoning MiMo-V2-Omni leads

Claude Haiku 4.5: 15.1 (#310), MiMo-V2-Omni: 28.6 (#86)

Reasoning benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Hard Prompts14201445
ARC-AGI-24%—
NYT Connections (extended)14.3%—
ARC-AGI-147.7%—
CritPt0%—
Chess Puzzles8%—
DTBench73.6%—
LMCA30.9%—
Epoch Capabilities Index142.42—
ForecastBench61.4—

Math Claude Haiku 4.5 leads

Claude Haiku 4.5: 43.0 (#69), MiMo-V2-Omni: 36.4 (#112)

Math benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Math13951432
OTIS Mock AIME 2024-202566.7%—
Omni-MATH56.1%—
MATH Level 596.4%—
FrontierMath (Feb 2025 set)5.9%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge MiMo-V2-Omni leads

Claude Haiku 4.5: 37.6 (#146), MiMo-V2-Omni: 39.9 (#114)

Knowledge benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Expert14431449
GPQA Diamond71.2%—
SimpleQA Verified13.2%—
MMLU-Pro77.7%—
Vectara Hallucination Rate9.8%—
GPQA (HELM)60.5%—

Multimodal MiMo-V2-Omni leads

Claude Haiku 4.5: 27.0 (#111), MiMo-V2-Omni: 37.9 (#62)

Multimodal benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Vision—1228
Blueprint-Bench 20%—
LMArena Document1420—

Multilingual MiMo-V2-Omni leads

Claude Haiku 4.5: 50.1 (#124), MiMo-V2-Omni: 52.0 (#97)

Multilingual benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Non-English13761404
LMArena Chinese14151469
LMArena French14081448
LMArena German13771398
LMArena Japanese13391318
LMArena Korean13461355
LMArena Russian13801412
LMArena Spanish14201432

Instruction Following MiMo-V2-Omni leads

Claude Haiku 4.5: 71.6 (#144), MiMo-V2-Omni: 75.4 (#62)

Instruction Following benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Instruction Following14141428
IFEval80.1%—

Long Context Too close to call

Claude Haiku 4.5: 43.6 (#86), MiMo-V2-Omni: 44.1 (#72)

Long Context benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Longer Query14271442

Writing & Preference MiMo-V2-Omni leads

Claude Haiku 4.5: 58.1 (#119), MiMo-V2-Omni: 61.6 (#83)

Writing & Preference benchmarks
BenchmarkClaude Haiku 4.5MiMo-V2-Omni
LMArena Text13961424
LMArena Creative Writing13711393
LMArena Multi-Turn14091446
WildBench83.9%—
EQ-Bench 41064—

Frequently asked questions

Is Claude Haiku 4.5 better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 39.3 on the Noometry Index.

Which is cheaper, Claude Haiku 4.5 or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.

Is Claude Haiku 4.5 or MiMo-V2-Omni better for coding?

Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 42.7 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 200K.

How many benchmarks do Claude Haiku 4.5 and MiMo-V2-Omni share?

17 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and MiMo-V2-Omni has 18.

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