Model comparison

Gemma 4 12B vs MiMo-V2-Flash

Data verified July 23, 2026

Head-to-head evidence from 13 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Gemma 4 12B

Google

47.29/100

Margin

6.8pts

winning →

MiMo-V2-Flash

Xiaomi

54.06/100

0 category wins1 category wins

Public leaderboard positions: Gemma 4 12B #137 (Estimated); MiMo-V2-Flash #91 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 12B and MiMo-V2-Flash share 13 comparable benchmark results. 1 of 8 categories are comparable. 10 results are unique to Gemma 4 12B; 6 to MiMo-V2-Flash.

Updated July 23, 2026

Shared results: 13
Gemma 4 12B only: 10
MiMo-V2-Flash only: 6
Comparable categories: 1 / 8

Pick MiMo-V2-Flash if you want the stronger benchmark profile. Gemma 4 12B 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 13 shared benchmark results across 5 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-Flash is clearly ahead on the BenchAlign aggregate, 54.06 to 47.29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

MiMo-V2-Flash's sharpest advantage is in knowledge, where it averages 84.7 against 77.5. The single biggest benchmark swing on the page is MMLU-Pro, 77.2% to 84.9%.

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 12B and MiMo-V2-Flash
Category	Gemma 4 12B	Δ	MiMo-V2-Flash
Knowledge	Gemma 4 12B77.5	Margin→ 7.2	MiMo-V2-Flash84.7
Coding	Gemma 4 12BNot measured	MarginNo overlap	MiMo-V2-Flash73.4
Reasoning	Gemma 4 12B43.4	MarginNo overlap	MiMo-V2-FlashNot measured
Math	Gemma 4 12B77.5	MarginNo overlap	MiMo-V2-FlashNot measured
Multimodal	Gemma 4 12B69.1	MarginNo overlap	MiMo-V2-FlashNot measured

Decisive benchmark drivers

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

A · Gemma 4 12BB · MiMo-V2-Flash

MMLU-Pro
Knowledge
Source ↗
A 77.2%B 84.9%
Winner: MiMo-V2-FlashΔ 7.7
MMLU-Pro: Gemma 4 12B scored 77.2%; MiMo-V2-Flash scored 84.9%. MiMo-V2-Flash wins this benchmark.
GPQA
Knowledge
Source ↗
A 78.8%B 83.7%
Winner: MiMo-V2-FlashΔ 4.9
GPQA: Gemma 4 12B scored 78.8%; MiMo-V2-Flash scored 83.7%. MiMo-V2-Flash wins this benchmark.

Operational comparison

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

Metric	Gemma 4 12B	MiMo-V2-Flash	Comparison
Input / output priceUSD per 1M tokens	Gemma 4 12BNot available	MiMo-V2-Flash$0 input / $0 output	A complete price comparison is not available.
Generation speedtokens per second	Gemma 4 12BNot available	MiMo-V2-Flash129 tok/s	A complete speed comparison is not available.
First-answer latencyseconds to first token	Gemma 4 12BNot available	MiMo-V2-Flash2.14 s	A complete latency comparison is not available.
Context windowmaximum listed tokens	Gemma 4 12B256K	MiMo-V2-Flash256K	Listed context windows are equal.

Benchmark Deep Dive

Agentic

4 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
τ²-bench resultsSource	36.3%	83.9%	MiMo-V2-Flash leads
AA Agentic IndexSource	—	12.0%	Not comparable
GDPval-AASource	—	16.7%	Not comparable
GDPval-AASource	—	833	Not comparable

Coding

3 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
AA-SciCodeSource	38.2%	25.9%	Gemma 4 12B leads
SWE-bench VerifiedSource	—	73.4%	Not comparable
AA Coding IndexSource	—	49.8%	Not comparable

Reasoning

4 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
BBHSource	53%	—	Not comparable
MRCRv2Source	43.4%	—	Not comparable
AA-LCRSource	55.3%	31.3%	Gemma 4 12B leads
CritPtSource	0.0%	0.0%	Tie

KnowledgeMiMo-V2-Flash wins

11 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
GPQASource	78.8%	83.7%	MiMo-V2-Flash leads
GPQA-DSource	78.8%	—	Not comparable
MMLU-ProSource	77.2%	84.9%	MiMo-V2-Flash leads
HLE w/o toolsSource	5.2%	—	Not comparable
MMMLUSource	83.4%	—	Not comparable
Artificial Analysis Intelligence IndexSource	22.0%	24.7%	MiMo-V2-Flash leads
AA-GPQA DiamondSource	75.3%	65.6%	Gemma 4 12B leads
AA-HLESource	14.8%	8.0%	Gemma 4 12B leads
AA-Omniscience IndexSource	-51.9%	-48.5%	MiMo-V2-Flash leads
AA-Omniscience AccuracySource	16.0%	15.2%	Gemma 4 12B leads
AA-Omniscience Hallucination RateSource	80.8%	75.1%	MiMo-V2-Flash leads

Math

2 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
AIME26Source	77.5%	—	Not comparable
AIME 2025Source	—	94.1%	Not comparable

Multimodal

4 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
MMMU-ProSource	69.1%	—	Not comparable
MathVisionSource	79.7%	—	Not comparable
MedXpertQA (MM)Source	48.7%	—	Not comparable
AA-MMMU-ProSource	69.7%	—	Not comparable

Inst. Following

1 benchmarks

Benchmark	Gemma 4 12B	MiMo-V2-Flash	Result
AA-IFBenchSource	73.5%	39.9%	Gemma 4 12B leads

Frequently Asked Questions (2)

Which is better, Gemma 4 12B or MiMo-V2-Flash?

MiMo-V2-Flash is ahead on BenchLM's BenchAlign leaderboard, 54.06 to 47.29. The biggest single separator in this matchup is MMLU-Pro, where the scores are 77.2% and 84.9%.

Which is better for knowledge tasks, Gemma 4 12B or MiMo-V2-Flash?

MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.7 versus 77.5. Inside this category, AA-GPQA Diamond is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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