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Model comparison

Gemma 4 26B A4B vs GLM-4.7

Data verified

Head-to-head evidence from 18 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.86/100
Margin
3.1pts
winning →
60.98/100
0 category wins1 category wins

Verified leaderboard positions: Gemma 4 26B A4B unranked; GLM-4.7 #32

BenchAlign evidence: Gemma 4 26B A4B supported; GLM-4.7 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 26B A4B and GLM-4.7 share 18 comparable benchmark results. 1 of 8 categories are comparable. 3 results are unique to Gemma 4 26B A4B; 13 to GLM-4.7.

Updated July 16, 2026
Shared results
18
Gemma 4 26B A4B only
3
GLM-4.7 only
13
Comparable categories
1 / 8

Pick GLM-4.7 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you need the larger 256K context window.

Confidence note. This is a partial-evidence comparison with 18 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

GLM-4.7 is clearly ahead on the provisional aggregate, 63 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GLM-4.7's sharpest advantage is in knowledge, where it averages 52.1 against 43.8. The single biggest benchmark swing on the page is HLE, 17.2% to 24.8%.

Gemma 4 26B A4B 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 26B A4B and GLM-4.7
CategoryGemma 4 26B A4BΔGLM-4.7
KnowledgeGemma 4 26B A4B43.8Margin 8.3GLM-4.752.1
AgenticGemma 4 26B A4BNot measuredMarginNo overlapGLM-4.745.7
CodingGemma 4 26B A4BNot measuredMarginNo overlapGLM-4.775.4
MathGemma 4 26B A4BNot measuredMarginNo overlapGLM-4.71.8
MultimodalGemma 4 26B A4B73.8MarginNo overlapGLM-4.7Not measured

Decisive benchmark drivers

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

More
A · Gemma 4 26B A4BB · GLM-4.7
  1. HLE

    Knowledge
    Source ↗
    A 17.2%B 24.8%
    Winner: GLM-4.7Δ 7.6
    HLE: Gemma 4 26B A4B scored 17.2%; GLM-4.7 scored 24.8%. GLM-4.7 wins this benchmark.
  2. MMLU-Pro

    Knowledge
    Source ↗
    A 82.6%B 84.3%
    Winner: GLM-4.7Δ 1.7
    MMLU-Pro: Gemma 4 26B A4B scored 82.6%; GLM-4.7 scored 84.3%. 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 26B A4BGLM-4.7Comparison
Input / output priceUSD per 1M tokensGemma 4 26B A4B$0 input / $0 outputGLM-4.7$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGemma 4 26B A4BNot availableGLM-4.782 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 26B A4BNot availableGLM-4.71.10 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 26B A4B256KGLM-4.7200KGemma 4 26B A4B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 26B A4BGLM-4.7Result
AA Agentic IndexSource 11.0%25.4%GLM-4.7 leads
τ²-bench resultsSource 43.6%95.9%GLM-4.7 leads
GDPval-AASource 13.1%33.3%GLM-4.7 leads
GDPval-AASource 7611165GLM-4.7 leads
Terminal-Bench 2.0Source 41%Not comparable
BrowseCompSource 52%Not comparable
VITA-BenchSource 15.5%Not comparable
Gert LabsSource 39.95%Not comparable
Coding
BenchmarkGemma 4 26B A4BGLM-4.7Result
AA Coding IndexSource 39.3%45.3%GLM-4.7 leads
Terminal-Bench HardSource 13.6%31.8%GLM-4.7 leads
AA-SciCodeSource 40.0%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 LiveCodeBenchSource 89.4%Not comparable
Reasoning
BenchmarkGemma 4 26B A4BGLM-4.7Result
AA-LCRSource 55.7%64.0%GLM-4.7 leads
CritPtSource 0.0%1.7%GLM-4.7 leads
KnowledgeGLM-4.7 wins
BenchmarkGemma 4 26B A4BGLM-4.7Result
MMLU-ProSource 82.6%84.3%GLM-4.7 leads
HLESource 17.2%24.8%GLM-4.7 leads
HLE w/o toolsSource 8.7%Not comparable
Artificial Analysis Intelligence IndexSource 25.7%33.7%GLM-4.7 leads
AA-GPQA DiamondSource 79.2%85.9%GLM-4.7 leads
AA-HLESource 18.3%25.1%GLM-4.7 leads
AA-Omniscience IndexSource -48.1%-34.6%GLM-4.7 leads
AA-Omniscience AccuracySource 18.2%29.3%GLM-4.7 leads
AA-Omniscience Hallucination RateSource 80.9%90.3%Gemma 4 26B A4B leads
GPQASource 85.7%Not comparable
Math
BenchmarkGemma 4 26B A4BGLM-4.7Result
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 26B A4BGLM-4.7Result
MMMU-ProSource 73.8%Not comparable
AA-MMMU-ProSource 69.2%Not comparable
Design Arena WebsiteSource 1260Not comparable
Inst. Following
BenchmarkGemma 4 26B A4BGLM-4.7Result
AA-IFBenchSource 72.4%67.9%Gemma 4 26B A4B leads
Frequently Asked Questions (2)

Which is better, Gemma 4 26B A4B or GLM-4.7?

GLM-4.7 is ahead on BenchLM's provisional leaderboard, 63 to 56. The biggest single separator in this matchup is HLE, where the scores are 17.2% and 24.8%.

Which is better for knowledge tasks, Gemma 4 26B A4B or GLM-4.7?

GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 52.1 versus 43.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

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Last updated: July 16, 2026

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