LLM Comparison

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

Side-by-side Gemini 4 Hydrogen 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 Hydrogen ranks higher (#13 vs #45) and wins 1 of 1 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $1.50/$7.50 per 1M tokens).

Rank #13 vs #45AskClash overall scores 62.8 vs 38.0.
Pricing $1.50/$7.50 vs $1.40/$4.40Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Z.AI.

Gemini 4 Hydrogen vs GLM-5.2 benchmark comparison

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

MetricGemini 4 HydrogenGLM-5.2
Overall Score62.838.0
Leaderboard Rank#13#45
ACB70.2—
AA Intelligence Index53.938.6
AutomationBench-AA76.1—
RWT—8.5
HLE—54.7
GPQA—91.2
IFEval—73.3
SWE-Pro—62.1
Terminal-Bench 4.054.0—
DeepSWE—43.8
MCP Atlas—76.8
Finance Agent v2.165.1—
ARC-AGI 2—22.8
Input Price (per 1M tokens)$1.50$1.40
Output Price (per 1M tokens)$7.50$4.40
Context Window1M1M
Benchmarks Published57

Gemini 4 Hydrogen: its diagnostic ACB uses a review slice and sampled video frames.

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

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

Gemini 4 HydrogenGLM-5.2
Overall
62.8Gemini 4 Hydrogen
38.0GLM-5.2
AA Intelligence Index
53.9Gemini 4 Hydrogen
38.6GLM-5.2
Gemini 4 Hydrogen
Input$1.50
Output$7.50
Workload$3.00
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 Hydrogen and GLM-5.2 comparisons

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

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.