Model Comparison
GLM-5.2 (max)
vs. Qwen3.7 Max
Comparing 2 AI models · 7 benchmarks · Z AI, Alibaba
Recommended Pick
Z GLM-5.2 (max) 13 metric wins Strongest on: Value, Input price, Output price
Best Value
GLM-5.2 (max)
100.0 value score
60.1 reasoning / $2.15/1M
Lowest Price
GLM-5.2 (max)
$1.40/1M input price
Best Reasoning
GLM-5.2 (max)
60.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.2 (max)
50.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
GLM-5.2 (max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-5.2 (max) is 1.8x cheaper on input tokens than Qwen3.7 Max.
Speed gap
GLM-5.2 (max) generates about 1.2x as many tokens per second as Qwen3.7 Max.
Reasoning gap
GLM-5.2 (max) leads Qwen3.7 Max by 1.3 points on reasoning.
Coding gap
GLM-5.2 (max) leads Qwen3.7 Max by 0.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.2 (max)
Z AI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Qwen3.7 Max
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-5.2 (max) | Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $2.50/1M |
| Output Cost | $4.40/1M | $7.50/1M |
| Blended (3:1) | $2.15/1M | $3.75/1M |
| Specifications | ||
| Organization | Z AI | Alibaba |
| Release Date | Jun 16, 2026 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | 114.2 tok/s | 98.2 tok/s |
| TTFT | 2125ms | 1657ms |
| Latency | 19644ms | 26200ms |
| Composite Indices | ||
| Value Score | 100.0 | 56.1 |
| Reasoning Score | 60.1 | 58.8 |
| Intelligence | 50.7 | 46.0 |
| Coding | 50.7 | 50.1 |
| Standard Benchmarks | ||
| GPQA | 89.5% | 92.3% |
| HLE | 40.1% | 38.1% |
| SciCode | 50.5% | 48.8% |
| LCR | 71.3% | 69.0% |
| IFBench | 73.3% | 80.5% |
| TAU-bench v2 | 99.1% | 94.7% |
| TerminalBench Hard | 50.8% | 50.8% |
Key Takeaways
GLM-5.2 (max) offers the best value at $1.40/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-5.2 (max) has the strongest reasoning profile with a 60.1 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-5.2 (max) reaches a 50.7 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GLM-5.2 (max)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.7 Max
- General-purpose AI
- Versatile applications
