Compare · ModelsLive · 2 picked · head to head
GLM 5.2 vs Qwen3.6 Plus
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GLM 5.2 wins on 13/13 benchmarks
GLM 5.2 wins 13 of 13 shared benchmarks. Leads in speed · arena · coding.
Category leads
speed·GLM 5.2arena·GLM 5.2coding·GLM 5.2reasoning·GLM 5.2language·GLM 5.2math·GLM 5.2knowledge·GLM 5.2
Hype vs Reality
Attention vs performance
GLM 5.2
#11 by perf·no signal
Qwen3.6 Plus
#55 by perf·no signal
Best value
Qwen3.6 Plus
1.7x better value than GLM 5.2
GLM 5.2
30.5 pts/$
$2.50/M
Qwen3.6 Plus
52.7 pts/$
$1.14/M
Vendor risk
Who is behind the model
z-ai
private · undisclosed
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
13 benchmarks · 2 models
GLM 5.2Qwen3.6 Plus
Artificial Analysis · Agentic Index
GLM 5.2 leads by +15.5
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
GLM 5.2
43.1
Qwen3.6 Plus
27.6
Artificial Analysis · Coding Index
GLM 5.2 leads by +14.2
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
GLM 5.2
68.8
Qwen3.6 Plus
54.5
Artificial Analysis · Quality Index
GLM 5.2 leads by +11.5
GLM 5.2
51.1
Qwen3.6 Plus
39.6
Chatbot Arena Elo · Coding
GLM 5.2 leads by +131.3
GLM 5.2
1593.3
Qwen3.6 Plus
1461.9
Chatbot Arena Elo · Overall
GLM 5.2 leads by +26.8
GLM 5.2
1471.0
Qwen3.6 Plus
1444.2
LiveBench · Agentic Coding
GLM 5.2 leads by +18.3
GLM 5.2
73.3
Qwen3.6 Plus
55.0
LiveBench · Coding
GLM 5.2 leads by +1.5
GLM 5.2
79.7
Qwen3.6 Plus
78.2
LiveBench · Data Analysis
GLM 5.2 leads by +3.8
GLM 5.2
73.7
Qwen3.6 Plus
69.9
LiveBench · If
GLM 5.2 leads by +3.9
GLM 5.2
62.3
Qwen3.6 Plus
58.3
LiveBench · Language
GLM 5.2 leads by +1.3
GLM 5.2
76.2
Qwen3.6 Plus
75.0
LiveBench · Mathematics
GLM 5.2 leads by +6.1
GLM 5.2
89.8
Qwen3.6 Plus
83.7
LiveBench · Overall
GLM 5.2 leads by +5.4
GLM 5.2
76.2
Qwen3.6 Plus
70.8
LiveBench · Reasoning
GLM 5.2 leads by +2.8
GLM 5.2
78.6
Qwen3.6 Plus
75.8
Full benchmark table
| Benchmark | GLM 5.2 | Qwen3.6 Plus |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 43.1 | 27.6 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 68.8 | 54.5 |
Artificial Analysis · Quality Index | 51.1 | 39.6 |
Chatbot Arena Elo · Coding | 1593.3 | 1461.9 |
Chatbot Arena Elo · Overall | 1471.0 | 1444.2 |
LiveBench · Agentic Coding | 73.3 | 55.0 |
LiveBench · Coding | 79.7 | 78.2 |
LiveBench · Data Analysis | 73.7 | 69.9 |
LiveBench · If | 62.3 | 58.3 |
LiveBench · Language | 76.2 | 75.0 |
LiveBench · Mathematics | 89.8 | 83.7 |
LiveBench · Overall | 76.2 | 70.8 |
LiveBench · Reasoning | 78.6 | 75.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.00 | $4.00 | 1.0M tokens (~524 books) | $17.50 | |
| $0.33 | $1.95 | 1.0M tokens (~500 books) | $7.31 |