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Model comparison

Command A+ vs Gemma 4 12B

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

47.51/100
Margin
0.2pts
← winning
47.29/100
0 category wins1 category wins

Public leaderboard positions: Command A+ #135 (Estimated); Gemma 4 12B #137 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Command A+ and Gemma 4 12B share 13 comparable benchmark results. 1 of 8 categories are comparable. 8 results are unique to Command A+; 10 to Gemma 4 12B.

Updated July 23, 2026
Shared results
13
Command A+ only
8
Gemma 4 12B only
10
Comparable categories
1 / 8

Pick Command A+ if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.

Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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

Command A+ has the cleaner BenchAlign overall profile here, landing at 47.51 versus 47.29. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Gemma 4 12B gives you the larger context window at 256K, compared with 128K for Command A+.

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 Command A+ and Gemma 4 12B
CategoryCommand A+ΔGemma 4 12B
MultimodalCommand A+59.3Margin 9.8Gemma 4 12B69.1
ReasoningCommand A+Not measuredMarginNo overlapGemma 4 12B43.4
KnowledgeCommand A+Not measuredMarginNo overlapGemma 4 12B77.5
MathCommand A+Not measuredMarginNo overlapGemma 4 12B77.5

Decisive benchmark drivers

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

More
A · Command A+B · Gemma 4 12B
  1. MMMU-Pro

    Multimodal
    Source ↗
    A 63%B 69.1%
    Winner: Gemma 4 12BΔ 6.1
    MMMU-Pro: Command A+ scored 63%; Gemma 4 12B scored 69.1%. Gemma 4 12B wins this benchmark.

Operational comparison

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

MetricCommand A+Gemma 4 12BComparison
Input / output priceUSD per 1M tokensCommand A+$2.5 input / $10 outputGemma 4 12BNot availableA complete price comparison is not available.
Generation speedtokens per secondCommand A+272 tok/sGemma 4 12BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenCommand A+0.25 sGemma 4 12BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensCommand A+128KGemma 4 12B256KGemma 4 12B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkCommand A+Gemma 4 12BResult
τ²-bench resultsSource 80.7%36.3%Command A+ leads
AA Agentic IndexSource 9.2%Not comparable
GDPval-AASource 10.7%Not comparable
GDPval-AASource 714Not comparable
terminalBenchHardSource 25%Not comparable
Coding
BenchmarkCommand A+Gemma 4 12BResult
AA Coding IndexSource 27.9%Not comparable
AA-SciCodeSource 37.8%38.2%Gemma 4 12B leads
Reasoning
BenchmarkCommand A+Gemma 4 12BResult
AA-LCRSource 46.0%55.3%Gemma 4 12B leads
CritPtSource 0.3%0.0%Command A+ leads
BBHSource 53%Not comparable
MRCRv2Source 43.4%Not comparable
Knowledge
BenchmarkCommand A+Gemma 4 12BResult
Artificial Analysis Intelligence IndexSource 22.5%22.0%Command A+ leads
AA-GPQA DiamondSource 76.1%75.3%Command A+ leads
AA-HLESource 11.4%14.8%Gemma 4 12B leads
AA-Omniscience IndexSource -4.0%-51.9%Command A+ leads
AA-Omniscience AccuracySource 8.9%16.0%Gemma 4 12B leads
AA-Omniscience Hallucination RateSource 14.1%80.8%Command A+ leads
AA Openness IndexSource 38.9%Not comparable
GPQASource 78.8%Not comparable
GPQA-DSource 78.8%Not comparable
MMLU-ProSource 77.2%Not comparable
HLE w/o toolsSource 5.2%Not comparable
MMMLUSource 83.4%Not comparable
Math
BenchmarkCommand A+Gemma 4 12BResult
AIME26Source 77.5%Not comparable
MultimodalGemma 4 12B wins
BenchmarkCommand A+Gemma 4 12BResult
MMMUSource 75.1%Not comparable
MMMU-ProSource 63%69.1%Gemma 4 12B leads
CharXivSource 52.7%Not comparable
AA-MMMU-ProSource 63.2%69.7%Gemma 4 12B leads
MathVisionSource 79.7%Not comparable
MedXpertQA (MM)Source 48.7%Not comparable
Inst. Following
BenchmarkCommand A+Gemma 4 12BResult
AA-IFBenchSource 73.9%73.5%Command A+ leads
Frequently Asked Questions (2)

Which is better, Command A+ or Gemma 4 12B?

Command A+ is ahead on BenchLM's BenchAlign leaderboard, 47.51 to 47.29. The biggest single separator in this matchup is MMMU-Pro, where the scores are 63% and 69.1%.

Which is better for multimodal and grounded tasks, Command A+ or Gemma 4 12B?

Gemma 4 12B has the edge for multimodal and grounded tasks in this comparison, averaging 69.1 versus 59.3. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 23, 2026

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