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Model comparison

Claude Opus 4.5 vs MiMo-V2.5

Data verified

Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.22/100
Margin
5.6pts
← winning
Xiaomi
58.62/100
1 category wins2 category wins

Public leaderboard positions: Claude Opus 4.5 #34 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.5 and MiMo-V2.5 share 7 comparable benchmark results. 3 of 8 categories are comparable. 52 results are unique to Claude Opus 4.5; 4 to MiMo-V2.5.

Updated July 21, 2026
Shared results
7
Claude Opus 4.5 only
52
MiMo-V2.5 only
4
Comparable categories
3 / 8

Pick Claude Opus 4.5 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if multimodal & grounded is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Opus 4.5 is clearly ahead on the BenchAlign aggregate, 64.22 to 58.62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.5's sharpest advantage is in coding, where it averages 71.7 against 56.1. The single biggest benchmark swing on the page is CharXiv, 68.5% to 81%. MiMo-V2.5 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.

MiMo-V2.5 is the reasoning model in the pair, while Claude Opus 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 Opus 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 Opus 4.5 and MiMo-V2.5
CategoryClaude Opus 4.5ΔMiMo-V2.5
CodingClaude Opus 4.571.7Margin 15.6MiMo-V2.556.1
MultimodalClaude Opus 4.569.9Margin 9.1MiMo-V2.579.0
AgenticClaude Opus 4.562.6Margin 3.2MiMo-V2.565.8
ReasoningClaude Opus 4.564.4MarginNo overlapMiMo-V2.5Not measured
KnowledgeClaude Opus 4.558.1MarginNo overlapMiMo-V2.5Not measured
MathClaude Opus 4.557.5MarginNo overlapMiMo-V2.5Not measured
MultilingualClaude Opus 4.585.7MarginNo overlapMiMo-V2.5Not measured
Inst. FollowingClaude Opus 4.569.5MarginNo overlapMiMo-V2.5Not measured

Decisive benchmark drivers

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

More
A · Claude Opus 4.5B · MiMo-V2.5
  1. CharXiv

    Multimodal
    Source ↗
    A 68.5%B 81%
    Winner: MiMo-V2.5Δ 12.5
    CharXiv: Claude Opus 4.5 scored 68.5%; MiMo-V2.5 scored 81%. MiMo-V2.5 wins this benchmark.
  2. MMMU-Pro

    Multimodal
    Source ↗
    A 70.6%B 77.9%
    Winner: MiMo-V2.5Δ 7.3
    MMMU-Pro: Claude Opus 4.5 scored 70.6%; MiMo-V2.5 scored 77.9%. MiMo-V2.5 wins this benchmark.
  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 59.3%B 65.8%
    Winner: MiMo-V2.5Δ 6.5
    Terminal-Bench 2.0: Claude Opus 4.5 scored 59.3%; MiMo-V2.5 scored 65.8%. MiMo-V2.5 wins this benchmark.
  4. SWE-bench Pro

    Coding
    Source ↗
    A 57.1%B 56.1%
    Winner: Claude Opus 4.5Δ 1
    SWE-bench Pro: Claude Opus 4.5 scored 57.1%; MiMo-V2.5 scored 56.1%. Claude Opus 4.5 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.5MiMo-V2.5Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.5$5 input / $25 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.546 tok/sMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.51.01 sMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.5200KMiMo-V2.51MMiMo-V2.5 lists the larger context window.

Benchmark Deep Dive

AgenticMiMo-V2.5 wins
BenchmarkClaude Opus 4.5MiMo-V2.5Result
Terminal-Bench 2.0Source 59.3%65.8%MiMo-V2.5 leads
OSWorld-VerifiedSource 66.3%Not comparable
OSWorldSource 66.3%Not comparable
Claw-EvalSource 59.6%62.3%MiMo-V2.5 leads
QwenClawBenchSource 52.3%Not comparable
τ³-bench resultsSource 70.2%Not comparable
VITA-BenchSource 23.3%Not comparable
DeepPlanningSource 26.4%Not comparable
ToolathlonSource 43.5%Not comparable
MCP AtlasSource 42.3%Not comparable
MCP-TasksSource 71.8%Not comparable
WideResearchSource 76.4%Not comparable
CyberGymSource 50.6%Not comparable
τ²-bench resultsSource 86.3%Not comparable
Gert LabsSource 64.23%46.89%Claude Opus 4.5 leads
JobBenchSource 32.3%Not comparable
MM-ClawBenchSource 23.8%Not comparable
ResearchClawBenchSource 16.9%Not comparable
CodingClaude Opus 4.5 wins
BenchmarkClaude Opus 4.5MiMo-V2.5Result
SWE-bench VerifiedSource 80.9%Not comparable
LiveCodeBench v6Source 84.8%Not comparable
SWE-bench ProSource 57.1%56.1%Claude Opus 4.5 leads
SWE MultilingualSource 77.5%Not comparable
NL2RepoSource 43.2%Not comparable
AA-SciCodeSource 47.0%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Reasoning
BenchmarkClaude Opus 4.5MiMo-V2.5Result
LongBench v2Source 64.4%Not comparable
AI-NeedleSource 74%Not comparable
AA-LCRSource 65.3%Not comparable
CritPtSource 0.3%Not comparable
Knowledge
BenchmarkClaude Opus 4.5MiMo-V2.5Result
GPQASource 87%Not comparable
SuperGPQASource 70.6%Not comparable
MMLU-ProSource 89.5%Not comparable
MMLU-ReduxSource 96.6%Not comparable
C-EvalSource 92.2%Not comparable
HLESource 30.8%Not comparable
Artificial Analysis Intelligence IndexSource 34.7%Not comparable
AA-GPQA DiamondSource 81.0%Not comparable
AA-HLESource 12.9%Not comparable
AA-Omniscience IndexSource -3.9%Not comparable
AA-Omniscience AccuracySource 40.7%Not comparable
AA-Omniscience Hallucination RateSource 75.4%Not comparable
AA MMLU-ProSource 88.9%Not comparable
Math
BenchmarkClaude Opus 4.5MiMo-V2.5Result
AIME26Source 95.1%Not comparable
HMMT Feb 2025Source 92.9%Not comparable
HMMT Nov 2025Source 93.3%Not comparable
HMMT Feb 2026Source 85.3%Not comparable
MMAnswerBenchSource 84.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source 20.690%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multilingual
BenchmarkClaude Opus 4.5MiMo-V2.5Result
MMLU-ProXSource 85.7%Not comparable
NOVA-63Source 56.7%Not comparable
MultimodalMiMo-V2.5 wins
BenchmarkClaude Opus 4.5MiMo-V2.5Result
MMMU-ProSource 70.6%77.9%MiMo-V2.5 leads
MathVisionSource 74.3%Not comparable
CharXivSource 68.5%81%MiMo-V2.5 leads
VideoMMMUSource 84.4%Not comparable
ScreenSpot ProSource 45.7%Not comparable
V*Source 67.0%Not comparable
AA-MMMU-ProSource 71.2%Not comparable
Design Arena WebsiteSource 12771291MiMo-V2.5 leads
Video-MME (with subtitle)Source 87.7%Not comparable
Inst. Following
BenchmarkClaude Opus 4.5MiMo-V2.5Result
IFEvalSource 90.9%Not comparable
IFBenchSource 58%Not comparable
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (4)

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

Claude Opus 4.5 is ahead on BenchLM's BenchAlign leaderboard, 64.22 to 58.62. The biggest single separator in this matchup is CharXiv, where the scores are 68.5% and 81%.

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

Claude Opus 4.5 has the edge for coding in this comparison, averaging 71.7 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.5 or MiMo-V2.5?

MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 62.6. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.5 or MiMo-V2.5?

MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 69.9. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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