Skip to main content

Model comparison

Claude Haiku 4.5 vs MiMo-V2.5

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

56.58/100
Margin
2.0pts
winning →
Xiaomi
58.62/100
1 category wins0 category wins

Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Haiku 4.5 and MiMo-V2.5 share 1 comparable benchmark result. 1 of 8 categories are comparable. 4 results are unique to Claude Haiku 4.5; 10 to MiMo-V2.5.

Updated July 21, 2026
Shared results
1
Claude Haiku 4.5 only
4
MiMo-V2.5 only
10
Comparable categories
1 / 8

Pick MiMo-V2.5 if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

MiMo-V2.5 has the cleaner BenchAlign overall profile here, landing at 58.62 versus 56.58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

MiMo-V2.5 is the reasoning model in the pair, while Claude Haiku 4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2.5 gives you the larger context window at 1M, compared with 200K for Claude Haiku 4.5.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Haiku 4.5 and MiMo-V2.5
CategoryClaude Haiku 4.5ΔMiMo-V2.5
CodingClaude Haiku 4.573.3Margin 17.2MiMo-V2.556.1
AgenticClaude Haiku 4.5Not measuredMarginNo overlapMiMo-V2.565.8
MathClaude Haiku 4.54.9MarginNo overlapMiMo-V2.5Not measured
MultimodalClaude Haiku 4.5Not measuredMarginNo overlapMiMo-V2.579.0

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Haiku 4.5MiMo-V2.5Comparison
Input / output priceUSD per 1M tokensClaude Haiku 4.5$1 input / $5 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondClaude Haiku 4.5Not availableMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Haiku 4.5Not availableMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Haiku 4.5200KMiMo-V2.51MMiMo-V2.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Haiku 4.5MiMo-V2.5Result
JobBenchSource 16.0%Not comparable
Claw-EvalSource 62.3%Not comparable
MM-ClawBenchSource 23.8%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Gert LabsSource 46.89%Not comparable
ResearchClawBenchSource 16.9%Not comparable
CodingClaude Haiku 4.5 wins
BenchmarkClaude Haiku 4.5MiMo-V2.5Result
SWE-bench VerifiedSource 73.3%Not comparable
SWE-bench ProSource 56.1%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Math
BenchmarkClaude Haiku 4.5MiMo-V2.5Result
FrontierMath v2 (Tiers 1-3)Source 5.903%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
Multimodal
BenchmarkClaude Haiku 4.5MiMo-V2.5Result
Design Arena WebsiteSource 11521291MiMo-V2.5 leads
Video-MME (with subtitle)Source 87.7%Not comparable
CharXivSource 81%Not comparable
MMMU-ProSource 77.9%Not comparable
Frequently Asked Questions (2)

Which is better, Claude Haiku 4.5 or MiMo-V2.5?

MiMo-V2.5 is ahead on BenchLM's BenchAlign leaderboard, 58.62 to 56.58.

Which is better for coding, Claude Haiku 4.5 or MiMo-V2.5?

Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 56.1. MiMo-V2.5 stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 21, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.