LLM Comparison

Gemini 3.5 Flash vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.5 Flash 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 3.5 Flash ranks higher (#100 vs #106); GLM-5.2 wins 4 of 7 shared benchmarks.

Rank #100 vs #106AskClash overall scores 49.5 vs 47.7.
Pricing —/— vs $1.40/$4.40Input and output token prices per 1M tokens when published.
Open Weights vs Open WeightGoogle vs Z.AI.

Gemini 3.5 Flash 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 3.5 FlashGLM-5.2
Overall Score49.547.7
Leaderboard Rank#100#106
RWT7.08.5
Coding Agent Index—74.4
HLE42.754.7
GPQA92.291.2
IFEval76.373.3
SWE-Pro—62.1
SWE-Atlas—74.4
DeepSWE—43.8
GDPval-AA1202.61372.0
MCP Atlas—76.8
Finance Agent—49.7
MMMU-Pro84.3—
ARC-AGI 272.122.8
Tau295.399.1
Input Price (per 1M tokens)—$1.40
Output Price (per 1M tokens)—$4.40
Context Window1M1M
Benchmarks Published813

Gemini 3.5 Flash vs GLM-5.2 head-to-head charts

Gemini 3.5 Flash leads 4 and GLM-5.2 leads 4 of 8 shared benchmarks. Charts show only benchmarks both models publish.

Gemini 3.5 FlashGLM-5.2
Overall
49.5Gemini 3.5 Flash
47.7GLM-5.2
RWT
7.0Gemini 3.5 Flash
8.5GLM-5.2
HLE
42.7Gemini 3.5 Flash
54.7GLM-5.2
GPQA
92.2Gemini 3.5 Flash
91.2GLM-5.2
IFEval
76.3Gemini 3.5 Flash
73.3GLM-5.2
GDPval-AA
1202.6Gemini 3.5 Flash
1372.0GLM-5.2
ARC-AGI 2
72.1Gemini 3.5 Flash
22.8GLM-5.2
Tau2
95.3Gemini 3.5 Flash
99.1GLM-5.2
Gemini 3.5 Flash
Input—
Output—
Workload—
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 3.5 Flash and GLM-5.2 comparisons

Explore how Gemini 3.5 Flash 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.