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Model comparison

Gemini 3.1 Flash-Lite 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.

50.83/100
Margin
7.8pts
winning →
Xiaomi
58.62/100
0 category wins1 category wins

Public leaderboard positions: Gemini 3.1 Flash-Lite #111 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.1 Flash-Lite and MiMo-V2.5 share 2 comparable benchmark results. 1 of 8 categories are comparable. 18 results are unique to Gemini 3.1 Flash-Lite; 9 to MiMo-V2.5.

Updated July 21, 2026
Shared results
2
Gemini 3.1 Flash-Lite only
18
MiMo-V2.5 only
9
Comparable categories
1 / 8

Pick MiMo-V2.5 if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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

MiMo-V2.5 is clearly ahead on the BenchAlign aggregate, 58.62 to 50.83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

MiMo-V2.5's sharpest advantage is in multimodal & grounded, where it averages 79 against 73.2. The single biggest benchmark swing on the page is CharXiv, 73.2% to 81%.

MiMo-V2.5 is the reasoning model in the pair, while Gemini 3.1 Flash-Lite 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.

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 Gemini 3.1 Flash-Lite and MiMo-V2.5
CategoryGemini 3.1 Flash-LiteΔMiMo-V2.5
MultimodalGemini 3.1 Flash-Lite73.2Margin 5.8MiMo-V2.579.0
AgenticGemini 3.1 Flash-LiteNot measuredMarginNo overlapMiMo-V2.565.8
CodingGemini 3.1 Flash-LiteNot measuredMarginNo overlapMiMo-V2.556.1

Decisive benchmark drivers

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

More
A · Gemini 3.1 Flash-LiteB · MiMo-V2.5
  1. CharXiv

    Multimodal
    Source ↗
    A 73.2%B 81%
    Winner: MiMo-V2.5Δ 7.8
    CharXiv: Gemini 3.1 Flash-Lite scored 73.2%; MiMo-V2.5 scored 81%. MiMo-V2.5 wins this benchmark.

Operational comparison

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

MetricGemini 3.1 Flash-LiteMiMo-V2.5Comparison
Input / output priceUSD per 1M tokensGemini 3.1 Flash-Lite$0.25 input / $1.5 outputMiMo-V2.5Not availableA complete price comparison is not available.
Generation speedtokens per secondGemini 3.1 Flash-Lite205 tok/sMiMo-V2.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.1 Flash-Lite7.50 sMiMo-V2.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.1 Flash-Lite1MMiMo-V2.51MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.1 Flash-LiteMiMo-V2.5Result
AA Agentic IndexSource 6.2%Not comparable
APEX-Agents-AASource 12.2%Not comparable
τ²-bench resultsSource 31.3%Not comparable
GDPval-AASource 7.1%Not comparable
GDPval-AASource 642Not comparable
Gert LabsSource 38.46%46.89%MiMo-V2.5 leads
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
Coding
BenchmarkGemini 3.1 Flash-LiteMiMo-V2.5Result
Vibe Code BenchSource 0.00%Not comparable
AA Coding IndexSource 34.7%Not comparable
AA-SciCodeSource 41.9%Not comparable
SWE-bench ProSource 56.1%Not comparable
Terminal-Bench 2.0Source 65.8%Not comparable
Reasoning
BenchmarkGemini 3.1 Flash-LiteMiMo-V2.5Result
AA-LCRSource 65.3%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkGemini 3.1 Flash-LiteMiMo-V2.5Result
Artificial Analysis Intelligence IndexSource 25.0%Not comparable
AA-GPQA DiamondSource 82.2%Not comparable
AA-HLESource 16.2%Not comparable
AA-Omniscience IndexSource -15.5%Not comparable
AA-Omniscience AccuracySource 36.4%Not comparable
AA-Omniscience Hallucination RateSource 81.6%Not comparable
MultimodalMiMo-V2.5 wins
BenchmarkGemini 3.1 Flash-LiteMiMo-V2.5Result
CharXivSource 73.2%81%MiMo-V2.5 leads
AA-MMMU-ProSource 75.5%Not comparable
Video-MME (with subtitle)Source 87.7%Not comparable
MMMU-ProSource 77.9%Not comparable
Design Arena WebsiteSource 1291Not comparable
Inst. Following
BenchmarkGemini 3.1 Flash-LiteMiMo-V2.5Result
AA-IFBenchSource 77.2%Not comparable
Frequently Asked Questions (2)

Which is better, Gemini 3.1 Flash-Lite or MiMo-V2.5?

MiMo-V2.5 is ahead on BenchLM's BenchAlign leaderboard, 58.62 to 50.83. The biggest single separator in this matchup is CharXiv, where the scores are 73.2% and 81%.

Which is better for multimodal and grounded tasks, Gemini 3.1 Flash-Lite or MiMo-V2.5?

MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 73.2. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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