Model Comparison
Qwen3.8 Max (0902)
vs. GLM-5.3 (Max)
Comparing 2 AI models · 0 benchmarks · Alibaba, Z AI
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
GLM-5.3 (Max)
100.0 value score
31.7 reasoning / $2.15/1M
Lowest Price
GLM-5.3 (Max)
$1.40/1M input price
Best Reasoning
Qwen3.8 Max (0902)
33.7 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Best value
GLM-5.3 (Max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-5.3 (Max) is 1.4x cheaper on input tokens than Qwen3.8 Max (0902).
Speed gap
GLM-5.3 (Max) generates about 2.0x as many tokens per second as Qwen3.8 Max (0902).
Reasoning gap
Qwen3.8 Max (0902) leads GLM-5.3 (Max) by 2.0 points on reasoning.
Top-pick rationale
GLM-5.3 (Max) wins 7 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8 Max (0902)
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-5.3 (Max)
Z AI
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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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.8 Max (0902) | Top Pick Z GLM-5.3 (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 | Sep 2, 2026 | Aug 18, 2026 |
| Performance & Speed | ||
| Throughput | 40.0 tok/s | 80.2 tok/s |
| TTFT | 2950ms | 1570ms |
| Latency | 52990ms | 26500ms |
| Composite Indices | ||
| Value Score | 76.2 | 100.0 |
| Reasoning Score | 33.7 | 31.7 |
| Intelligence | 33.7 | 31.7 |
Key Takeaways
GLM-5.3 (Max) offers the best value at $1.40/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.8 Max (0902) has the strongest reasoning profile with a 33.7 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.8 Max (0902)
- Complex reasoning tasks
- Research & analysis
GLM-5.3 (Max)
- Cost-sensitive applications
- High-volume processing