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Model comparison

Gemma 4 31B vs MiMo-V2.5

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

61.08/100
Margin
2.5pts
← winning
Xiaomi
58.62/100
0 category wins2 category wins

Public leaderboard positions: Gemma 4 31B #43 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 31B and MiMo-V2.5 share 2 comparable benchmark results. 2 of 8 categories are comparable. 27 results are unique to Gemma 4 31B; 9 to MiMo-V2.5.

Updated July 21, 2026
Shared results
2
Gemma 4 31B only
27
MiMo-V2.5 only
9
Comparable categories
2 / 8

Pick Gemma 4 31B if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if coding is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemma 4 31B has the cleaner BenchAlign overall profile here, landing at 61.08 versus 58.62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.

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 31B and MiMo-V2.5
CategoryGemma 4 31BΔMiMo-V2.5
CodingGemma 4 31B41.6Margin 14.5MiMo-V2.556.1
MultimodalGemma 4 31B76.9Margin 2.1MiMo-V2.579.0
AgenticGemma 4 31BNot measuredMarginNo overlapMiMo-V2.565.8
KnowledgeGemma 4 31B52.9MarginNo overlapMiMo-V2.5Not measured

Decisive benchmark drivers

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

More
A · Gemma 4 31BB · MiMo-V2.5
  1. MMMU-Pro

    Multimodal
    Source ↗
    A 76.9%B 77.9%
    Winner: MiMo-V2.5Δ 1
    MMMU-Pro: Gemma 4 31B scored 76.9%; 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 31BMiMo-V2.5Comparison
Input / output priceUSD per 1M tokensGemma 4 31B$0 input / $0 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondGemma 4 31BNot availableMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 31BNot availableMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 31B256KMiMo-V2.51MMiMo-V2.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 31BMiMo-V2.5Result
AA Agentic IndexSource 14.4%Not comparable
τ²-bench resultsSource 59.9%Not comparable
GDPval-AASource 15.2%Not comparable
GDPval-AASource 804Not comparable
Gert LabsSource 35.26%46.89%MiMo-V2.5 leads
AA EnterpriseOps-GymSource 28.3%Not comparable
AA ITBenchSource 37.3%Not comparable
AA Tau3 BankingSource 15.1%Not comparable
terminalBenchHardSource 36.4%Not comparable
Claw-EvalSource 62.3%Not comparable
MM-ClawBenchSource 23.8%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
ResearchClawBenchSource 16.9%Not comparable
CodingMiMo-V2.5 wins
BenchmarkGemma 4 31BMiMo-V2.5Result
SWE-RebenchSource 41.6%Not comparable
React Native EvalsSource 75.2%Not comparable
AA Coding IndexSource 43.4%Not comparable
AA-SciCodeSource 43.4%Not comparable
SWE-bench ProSource 56.1%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Reasoning
BenchmarkGemma 4 31BMiMo-V2.5Result
AA-LCRSource 62.0%Not comparable
CritPtSource 1.4%Not comparable
Knowledge
BenchmarkGemma 4 31BMiMo-V2.5Result
GPQASource 84.3%Not comparable
MMLU-ProSource 85.2%Not comparable
HLESource 26.5%Not comparable
HLE w/o toolsSource 19.5%Not comparable
Artificial Analysis Intelligence IndexSource 29.4%Not comparable
AA-GPQA DiamondSource 85.7%Not comparable
AA-HLESource 22.7%Not comparable
AA-Omniscience IndexSource -45.4%Not comparable
AA-Omniscience AccuracySource 19.9%Not comparable
AA-Omniscience Hallucination RateSource 81.6%Not comparable
AA Openness IndexSource 38.9%Not comparable
MultimodalMiMo-V2.5 wins
BenchmarkGemma 4 31BMiMo-V2.5Result
MMMU-ProSource 76.9%77.9%MiMo-V2.5 leads
AA-MMMU-ProSource 73.4%Not comparable
Video-MME (with subtitle)Source 87.7%Not comparable
CharXivSource 81%Not comparable
Design Arena WebsiteSource 1291Not comparable
Inst. Following
BenchmarkGemma 4 31BMiMo-V2.5Result
AA-IFBenchSource 75.6%Not comparable
Frequently Asked Questions (3)

Which is better, Gemma 4 31B or MiMo-V2.5?

Gemma 4 31B is ahead on BenchLM's BenchAlign leaderboard, 61.08 to 58.62. The biggest single separator in this matchup is MMMU-Pro, where the scores are 76.9% and 77.9%.

Which is better for coding, Gemma 4 31B or MiMo-V2.5?

MiMo-V2.5 has the edge for coding in this comparison, averaging 56.1 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.

Which is better for multimodal and grounded tasks, Gemma 4 31B or MiMo-V2.5?

MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 76.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Gemma 4 31B
API / mo$0
Self-host / mo$429
Break-even
MiMo-V2.5
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

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Last updated: July 21, 2026

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