Which is better: Gemini 4 Argon or GLM-5.2?

Verdict: Gemini 4 Argon ranks higher (#6 vs #41) and wins 4 of 4 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $2.00/$10.0 per 1M tokens). AskClash compares Gemini 4 Argon and GLM-5.2 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Gemini 4 Argon and GLM-5.2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Gemini 4 Argon and GLM-5.2 when publicly disclosed.

LLM Comparison

Gemini 4 Argon vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs GLM-5.2 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Gemini 4 Argon ranks higher (#6 vs #41) and wins 4 of 4 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard Gemini 4 Argon model page GLM-5.2 model page

Rank #6 vs #41AskClash overall scores 72.2 vs 50.9.

Pricing $2.00/$10.0 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightGoogle vs Z.AI.

Gemini 4 Argon vs GLM-5.2 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	Gemini 4 Argon	GLM-5.2
Overall Score	72.2	50.9
Leaderboard Rank	#6	#41
ACB	74.8	—
RWT	—	8.5
Coding Agent Index	—	74.4
HLE	57.1	54.7
GPQA	—	91.2
IFEval	—	73.3
SWE-Pro	—	62.1
SWE-Atlas	—	74.4
Terminal-Bench	57.1	—
DeepSWE	77.9	43.8
GDPval-AA	1624.0	1372.0
MCP Atlas	—	76.8
Finance Agent	65.4	49.7
Tau2	—	99.1
Input Price (per 1M tokens)	$2.00	$1.40
Output Price (per 1M tokens)	$10.0	$4.40
Context Window	1M	1M
Benchmarks Published	9	12

Gemini 4 Argon vs GLM-5.2 head-to-head charts

Gemini 4 Argon leads 5 and GLM-5.2 leads 0 of 5 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonGLM-5.2

Overall

72.2Gemini 4 Argon

50.9GLM-5.2

HLE

57.1Gemini 4 Argon

54.7GLM-5.2

DeepSWE

77.9Gemini 4 Argon

43.8GLM-5.2

GDPval-AA

1624.0Gemini 4 Argon

1372.0GLM-5.2

Finance Agent

65.4Gemini 4 Argon

49.7GLM-5.2

Gemini 4 Argon

Input$2.00

Output$10.0

Workload$4.00

Context1M

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Gemini 4 Argon and GLM-5.2 comparisons

Explore how Gemini 4 Argon and GLM-5.2 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Gemini 4 Argon Claude Opus 5.5 vs GLM-5.2 Claude Fable 5.1 vs Gemini 4 Argon Claude Fable 5.1 vs GLM-5.2 Claude Sonnet 5.5 vs Gemini 4 Argon Claude Sonnet 5.5 vs GLM-5.2 Claude Opus 5 vs Gemini 4 Argon Claude Opus 5 vs GLM-5.2 Claude Fable 5 vs Gemini 4 Argon Claude Fable 5 vs GLM-5.2

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.