Model Comparison
Qwen3.8 Max
vs. GLM-5.2 (max)
Comparing 2 AI models · 7 benchmarks · Alibaba, Z AI
Recommended Pick
Z GLM-5.2 (max)8 metric winsStrongest on: Value, Input price, Output price
Best Value
GLM-5.2 (max)
100.0 value score
61.1 reasoning / $2.15/1M
Lowest Price
GLM-5.2 (max)
$1.40/1M input price
Best Reasoning
Qwen3.8 Max
64.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8 Max
71.8 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 1.4x cheaper on input tokens than Qwen3.8 Max.
Speed gap
GLM-5.2 (max) generates about 2.4x as many tokens per second as Qwen3.8 Max.
Reasoning gap
Qwen3.8 Max leads GLM-5.2 (max) by 3.5 points on reasoning.
Coding gap
Qwen3.8 Max leads GLM-5.2 (max) by 3.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8 Max
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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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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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.8 Max | Top Pick Z GLM-5.2 (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $1.40/1M |
| Output Cost | $6.00/1M | $4.40/1M |
| Blended (3:1) | $3.00/1M | $2.15/1M |
| Specifications | ||
| Organization | Alibaba | Z AI |
| Release Date | Aug 3, 2026 | Jun 16, 2026 |
| Performance & Speed | ||
| Throughput | 49.3 tok/s | 119.2 tok/s |
| TTFT | 1927ms | 978ms |
| Latency | 42499ms | 17754ms |
| Composite Indices | ||
| Value Score | 75.8 | 100.0 |
| Reasoning Score | 64.6 | 61.1 |
| Intelligence | 58.1 | 52.6 |
| Coding | 71.8 | 68.8 |
| Standard Benchmarks | ||
| GPQA | 92.7% | 89.5% |
| HLE | 43.0% | 41.1% |
| SciCode | 52.9% | 50.5% |
| LCR | 74.3% | 76.7% |
| IFBench | — | 73.3% |
| TAU-bench v2 | — | 99.1% |
| TerminalBench Hard | — | 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.
Qwen3.8 Max has the strongest reasoning profile with a 64.6 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8 Max reaches a 71.8 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
Qwen3.8 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
GLM-5.2 (max)
- Cost-sensitive applications
- High-volume processing
