Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GLM-5.2 vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.
Side-by-side GLM-5.2 vs Gemini 3.6 Flash 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: GLM-5.2 ranks higher (#106 vs #123); Gemini 3.6 Flash wins 3 of 5 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $1.50/$7.50 per 1M tokens).
Rank #106 vs #123AskClash overall scores 47.7 vs 44.8.
Pricing $1.40/$4.40 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryZ.AI vs Google.
GLM-5.2 vs Gemini 3.6 Flash benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GLM-5.2 | Gemini 3.6 Flash |
|---|---|---|
| Overall Score | 47.7 | 44.8 |
| Leaderboard Rank | #106 | #123 |
| ACB | — | 33.8 |
| RWT | 8.5 | — |
| Coding Agent Index | 74.4 | — |
| HLE | 54.7 | 38.0 |
| GPQA | 91.2 | 92.8 |
| IFEval | 73.3 | — |
| SWE-Pro | 62.1 | 58.7 |
| SWE-Atlas | 74.4 | — |
| DeepSWE | 43.8 | 46.7 |
| GDPval-AA | 1372.0 | 1421.0 |
| OSWorld | — | 83.0 |
| MCP Atlas | 76.8 | — |
| Finance Agent | 49.7 | — |
| CharXiv | — | 85.2 |
| MMMU-Pro | — | 83.2 |
| ARC-AGI 2 | 22.8 | — |
| Tau2 | 99.1 | — |
| MRCR | — | 91.8 |
| Input Price (per 1M tokens) | $1.40 | $1.50 |
| Output Price (per 1M tokens) | $4.40 | $7.50 |
| Context Window | 1M | 1M |
| Benchmarks Published | 13 | 9 |
GLM-5.2 vs Gemini 3.6 Flash head-to-head charts
GLM-5.2 leads 3 and Gemini 3.6 Flash leads 3 of 6 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GLM-5.2Gemini 3.6 Flash
Overall
HLE
GPQA
SWE-Pro
DeepSWE
GDPval-AA
GLM-5.2
Input$1.40
Output$4.40
Workload$2.28
Context1M
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GLM-5.2 and Gemini 3.6 Flash comparisons
Explore how GLM-5.2 and Gemini 3.6 Flash stack up against other top-ranked LLMs.
Claude Opus 5.5 vs GLM-5.2Claude Opus 5.5 vs Gemini 3.6 FlashClaude Fable 5.1 vs GLM-5.2Claude Fable 5.1 vs Gemini 3.6 FlashClaude Sonnet 5.5 vs GLM-5.2Claude Sonnet 5.5 vs Gemini 3.6 FlashClaude Opus 5 vs GLM-5.2Claude Opus 5 vs Gemini 3.6 FlashClaude Fable 5 vs GLM-5.2Claude Fable 5 vs Gemini 3.6 Flash
How to read this comparison
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.