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Model comparison

Gemma 4 12B vs GLM-4.7

Data verified

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

47.29/100
Margin
13.9pts
winning →
61.16/100
2 category wins0 category wins

Public leaderboard positions: Gemma 4 12B #137 (Estimated); GLM-4.7 #42 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 12B and GLM-4.7 share 13 comparable benchmark results. 2 of 8 categories are comparable. 10 results are unique to Gemma 4 12B; 17 to GLM-4.7.

Updated July 23, 2026
Shared results
13
Gemma 4 12B only
10
GLM-4.7 only
17
Comparable categories
2 / 8

Pick GLM-4.7 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if mathematics 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 5 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

GLM-4.7 is clearly ahead on the BenchAlign aggregate, 61.16 to 47.29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemma 4 12B gives you the larger context window at 256K, compared with 200K for GLM-4.7.

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 GLM-4.7
CategoryGemma 4 12BΔGLM-4.7
MathGemma 4 12B77.5Margin 75.7GLM-4.71.8
KnowledgeGemma 4 12B77.5Margin 25.7GLM-4.751.8
AgenticGemma 4 12BNot measuredMarginNo overlapGLM-4.745.7
CodingGemma 4 12BNot measuredMarginNo overlapGLM-4.775.4
ReasoningGemma 4 12B43.4MarginNo overlapGLM-4.7Not measured
MultimodalGemma 4 12B69.1MarginNo overlapGLM-4.7Not measured

Decisive benchmark drivers

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

More
A · Gemma 4 12BB · GLM-4.7
  1. MMLU-Pro

    Knowledge
    Source ↗
    A 77.2%B 84.3%
    Winner: GLM-4.7Δ 7.1
    MMLU-Pro: Gemma 4 12B scored 77.2%; GLM-4.7 scored 84.3%. GLM-4.7 wins this benchmark.
  2. GPQA

    Knowledge
    Source ↗
    A 78.8%B 85.7%
    Winner: GLM-4.7Δ 6.9
    GPQA: Gemma 4 12B scored 78.8%; GLM-4.7 scored 85.7%. GLM-4.7 wins this benchmark.

Operational comparison

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

MetricGemma 4 12BGLM-4.7Comparison
Input / output priceUSD per 1M tokensGemma 4 12BNot availableGLM-4.7$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondGemma 4 12BNot availableGLM-4.782 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 12BNot availableGLM-4.71.10 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 12B256KGLM-4.7200KGemma 4 12B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 12BGLM-4.7Result
τ²-bench resultsSource 36.3%95.9%GLM-4.7 leads
Terminal-Bench 2.0Source 41%Not comparable
BrowseCompSource 52%Not comparable
VITA-BenchSource 15.5%Not comparable
AA Agentic IndexSource 25.4%Not comparable
Gert LabsSource 39.95%Not comparable
GDPval-AASource 33.3%Not comparable
GDPval-AASource 1165Not comparable
Coding
BenchmarkGemma 4 12BGLM-4.7Result
AA-SciCodeSource 38.2%45.1%GLM-4.7 leads
SWE-bench VerifiedSource 73.8%Not comparable
LiveCodeBenchSource 84.9%Not comparable
SWE-RebenchSource 58.7%Not comparable
AA Coding IndexSource 45.3%Not comparable
AA LiveCodeBenchSource 89.4%Not comparable
Reasoning
BenchmarkGemma 4 12BGLM-4.7Result
BBHSource 53%Not comparable
MRCRv2Source 43.4%Not comparable
AA-LCRSource 55.3%64.0%GLM-4.7 leads
CritPtSource 0.0%1.7%GLM-4.7 leads
KnowledgeGemma 4 12B wins
BenchmarkGemma 4 12BGLM-4.7Result
GPQASource 78.8%85.7%GLM-4.7 leads
GPQA-DSource 78.8%Not comparable
MMLU-ProSource 77.2%84.3%GLM-4.7 leads
HLE w/o toolsSource 5.2%Not comparable
MMMLUSource 83.4%Not comparable
Artificial Analysis Intelligence IndexSource 22.0%33.7%GLM-4.7 leads
AA-GPQA DiamondSource 75.3%85.9%GLM-4.7 leads
AA-HLESource 14.8%25.1%GLM-4.7 leads
AA-Omniscience IndexSource -51.9%-34.6%GLM-4.7 leads
AA-Omniscience AccuracySource 16.0%29.3%GLM-4.7 leads
AA-Omniscience Hallucination RateSource 80.8%90.3%Gemma 4 12B leads
HLESource 24.8%Not comparable
MathGemma 4 12B wins
BenchmarkGemma 4 12BGLM-4.7Result
AIME26Source 77.5%Not comparable
AIME 2025Source 95.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 2.439%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGemma 4 12BGLM-4.7Result
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
Design Arena WebsiteSource 1255Not comparable
Inst. Following
BenchmarkGemma 4 12BGLM-4.7Result
AA-IFBenchSource 73.5%67.9%Gemma 4 12B leads
Frequently Asked Questions (3)

Which is better, Gemma 4 12B or GLM-4.7?

GLM-4.7 is ahead on BenchLM's BenchAlign leaderboard, 61.16 to 47.29. The biggest single separator in this matchup is MMLU-Pro, where the scores are 77.2% and 84.3%.

Which is better for knowledge tasks, Gemma 4 12B or GLM-4.7?

Gemma 4 12B has the edge for knowledge tasks in this comparison, averaging 77.5 versus 51.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for math, Gemma 4 12B or GLM-4.7?

Gemma 4 12B has the edge for math in this comparison, averaging 77.5 versus 1.8. GLM-4.7 stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 23, 2026

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