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Model comparison

Gemma 4 26B A4B 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.

57.96/100
Margin
0.7pts
winning →
Xiaomi
58.62/100
0 category wins1 category wins

Public leaderboard positions: Gemma 4 26B A4B #67 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 26B A4B and MiMo-V2.5 share 1 comparable benchmark result. 1 of 8 categories are comparable. 19 results are unique to Gemma 4 26B A4B; 10 to MiMo-V2.5.

Updated July 21, 2026
Shared results
1
Gemma 4 26B A4B only
19
MiMo-V2.5 only
10
Comparable categories
1 / 8

Pick MiMo-V2.5 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

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 57.96. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

MiMo-V2.5's sharpest advantage is in multimodal & grounded, where it averages 79 against 73.8. The single biggest benchmark swing on the page is MMMU-Pro, 73.8% to 77.9%.

MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.

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 Gemma 4 26B A4B and MiMo-V2.5
CategoryGemma 4 26B A4BΔMiMo-V2.5
MultimodalGemma 4 26B A4B73.8Margin 5.2MiMo-V2.579.0
AgenticGemma 4 26B A4BNot measuredMarginNo overlapMiMo-V2.565.8
CodingGemma 4 26B A4BNot measuredMarginNo overlapMiMo-V2.556.1
KnowledgeGemma 4 26B A4B43.4MarginNo overlapMiMo-V2.5Not measured

Decisive benchmark drivers

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

More
A · Gemma 4 26B A4BB · MiMo-V2.5
  1. MMMU-Pro

    Multimodal
    Source ↗
    A 73.8%B 77.9%
    Winner: MiMo-V2.5Δ 4.1
    MMMU-Pro: Gemma 4 26B A4B scored 73.8%; MiMo-V2.5 scored 77.9%. MiMo-V2.5 wins this benchmark.

Operational comparison

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

MetricGemma 4 26B A4BMiMo-V2.5Comparison
Input / output priceUSD per 1M tokensGemma 4 26B A4B$0 input / $0 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondGemma 4 26B A4BNot availableMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 26B A4BNot availableMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 26B A4B256KMiMo-V2.51MMiMo-V2.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 26B A4BMiMo-V2.5Result
AA Agentic IndexSource 11.0%Not comparable
τ²-bench resultsSource 43.6%Not comparable
GDPval-AASource 13.1%Not comparable
GDPval-AASource 761Not 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
BenchmarkGemma 4 26B A4BMiMo-V2.5Result
AA Coding IndexSource 39.3%Not comparable
AA-SciCodeSource 40.0%Not comparable
SWE-bench ProSource 56.1%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Reasoning
BenchmarkGemma 4 26B A4BMiMo-V2.5Result
AA-LCRSource 55.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGemma 4 26B A4BMiMo-V2.5Result
MMLU-ProSource 82.6%Not comparable
HLESource 17.2%Not comparable
HLE w/o toolsSource 8.7%Not comparable
Artificial Analysis Intelligence IndexSource 25.7%Not comparable
AA-GPQA DiamondSource 79.2%Not comparable
AA-HLESource 18.3%Not comparable
AA-Omniscience IndexSource -48.1%Not comparable
AA-Omniscience AccuracySource 18.2%Not comparable
AA-Omniscience Hallucination RateSource 80.9%Not comparable
MultimodalMiMo-V2.5 wins
BenchmarkGemma 4 26B A4BMiMo-V2.5Result
MMMU-ProSource 73.8%77.9%MiMo-V2.5 leads
AA-MMMU-ProSource 69.2%Not comparable
Video-MME (with subtitle)Source 87.7%Not comparable
CharXivSource 81%Not comparable
Design Arena WebsiteSource 1291Not comparable
Inst. Following
BenchmarkGemma 4 26B A4BMiMo-V2.5Result
AA-IFBenchSource 72.4%Not comparable
Frequently Asked Questions (2)

Which is better, Gemma 4 26B A4B or MiMo-V2.5?

MiMo-V2.5 is ahead on BenchLM's BenchAlign leaderboard, 58.62 to 57.96. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73.8% and 77.9%.

Which is better for multimodal and grounded tasks, Gemma 4 26B A4B or MiMo-V2.5?

MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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