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Model comparison

Holo3-122B-A10B vs MiMo-V2.5

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
Xiaomi
58.62/100
1 category wins0 category wins

Public leaderboard positions: Holo3-122B-A10B unranked (Not scored); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Holo3-122B-A10B and MiMo-V2.5 share 0 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Holo3-122B-A10B; 11 to MiMo-V2.5.

Updated July 21, 2026
Shared results
0
Holo3-122B-A10B only
1
MiMo-V2.5 only
11
Comparable categories
1 / 8

Treat this as a split decision. Holo3-122B-A10B makes more sense if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model; MiMo-V2.5 is the better fit if you need the larger 1M context window or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Holo3-122B-A10B and MiMo-V2.5 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

MiMo-V2.5 is the reasoning model in the pair, while Holo3-122B-A10B 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 64K for Holo3-122B-A10B.

Operational comparison

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

MetricHolo3-122B-A10BMiMo-V2.5Comparison
Input / output priceUSD per 1M tokensHolo3-122B-A10B$0.4 input / $3 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondHolo3-122B-A10BNot availableMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenHolo3-122B-A10BNot availableMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensHolo3-122B-A10B64KMiMo-V2.51MMiMo-V2.5 lists the larger context window.

Benchmark Deep Dive

AgenticHolo3-122B-A10B wins
BenchmarkHolo3-122B-A10BMiMo-V2.5Result
OSWorld-VerifiedSource 78.8%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
Coding
BenchmarkHolo3-122B-A10BMiMo-V2.5Result
SWE-bench ProSource 56.1%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Multimodal
BenchmarkHolo3-122B-A10BMiMo-V2.5Result
Video-MME (with subtitle)Source 87.7%Not comparable
CharXivSource 81%Not comparable
MMMU-ProSource 77.9%Not comparable
Design Arena WebsiteSource 1291Not comparable
Frequently Asked Questions (2)

Which is better, Holo3-122B-A10B or MiMo-V2.5?

Holo3-122B-A10B and MiMo-V2.5 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for agentic tasks, Holo3-122B-A10B or MiMo-V2.5?

Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 65.8. MiMo-V2.5 stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 21, 2026

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