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Model comparison

Claude Haiku 4.5 vs MiMo-V2-Flash

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
2.5pts
← winning
54.06/100
0 category wins1 category wins

Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); MiMo-V2-Flash #91 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Haiku 4.5 and MiMo-V2-Flash share 1 comparable benchmark result. 1 of 8 categories are comparable. 4 results are unique to Claude Haiku 4.5; 18 to MiMo-V2-Flash.

Updated July 22, 2026
Shared results
1
Claude Haiku 4.5 only
4
MiMo-V2-Flash only
18
Comparable categories
1 / 8

Pick Claude Haiku 4.5 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if coding is the priority or you want the cheaper token bill.

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

Claude Haiku 4.5 has the cleaner BenchAlign overall profile here, landing at 56.58 versus 54.06. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash 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-Flash gives you the larger context window at 256K, 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-Flash
CategoryClaude Haiku 4.5ΔMiMo-V2-Flash
CodingClaude Haiku 4.573.3Margin 0.1MiMo-V2-Flash73.4
KnowledgeClaude Haiku 4.5Not measuredMarginNo overlapMiMo-V2-Flash84.7
MathClaude Haiku 4.54.9MarginNo overlapMiMo-V2-FlashNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Haiku 4.5B · MiMo-V2-Flash
  1. SWE-bench Verified

    Coding
    Source ↗
    A 73.3%B 73.4%
    Winner: MiMo-V2-FlashΔ 0.1
    SWE-bench Verified: Claude Haiku 4.5 scored 73.3%; MiMo-V2-Flash scored 73.4%. MiMo-V2-Flash wins this benchmark.

Operational comparison

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

MetricClaude Haiku 4.5MiMo-V2-FlashComparison
Input / output priceUSD per 1M tokensClaude Haiku 4.5$1 input / $5 outputMiMo-V2-Flash$0 input / $0 outputMiMo-V2-Flash has the lower combined listed price.
Generation speedtokens per secondClaude Haiku 4.5Not availableMiMo-V2-Flash129 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Haiku 4.5Not availableMiMo-V2-Flash2.14 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Haiku 4.5200KMiMo-V2-Flash256KMiMo-V2-Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
JobBenchSource 16.0%Not comparable
AA Agentic IndexSource 12.0%Not comparable
τ²-bench resultsSource 83.9%Not comparable
GDPval-AASource 16.7%Not comparable
GDPval-AASource 833Not comparable
CodingMiMo-V2-Flash wins
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
SWE-bench VerifiedSource 73.3%73.4%MiMo-V2-Flash leads
AA Coding IndexSource 49.8%Not comparable
AA-SciCodeSource 25.9%Not comparable
Reasoning
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
AA-LCRSource 31.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
GPQASource 83.7%Not comparable
MMLU-ProSource 84.9%Not comparable
Artificial Analysis Intelligence IndexSource 24.7%Not comparable
AA-GPQA DiamondSource 65.6%Not comparable
AA-HLESource 8.0%Not comparable
AA-Omniscience IndexSource -48.5%Not comparable
AA-Omniscience AccuracySource 15.2%Not comparable
AA-Omniscience Hallucination RateSource 75.1%Not comparable
Math
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
FrontierMath v2 (Tiers 1-3)Source 5.903%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
AIME 2025Source 94.1%Not comparable
Multimodal
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
Design Arena WebsiteSource 1152Not comparable
Inst. Following
BenchmarkClaude Haiku 4.5MiMo-V2-FlashResult
AA-IFBenchSource 39.9%Not comparable
Frequently Asked Questions (2)

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

Claude Haiku 4.5 is ahead on BenchLM's BenchAlign leaderboard, 56.58 to 54.06. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.3% and 73.4%.

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

MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 73.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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Last updated: July 22, 2026

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