Model Comparison
GLM-5.3 (max)
vs. Qwen3.8 2.4T A95B
Comparing 2 AI models · 4 benchmarks · Z AI, Alibaba
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
GLM-5.3 (max)
100.0 value score
64.5 reasoning / $2.15/1M
Lowest Price
GLM-5.3 (max)
$1.40/1M input price
Best Reasoning
Qwen3.8 2.4T A95B
64.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.3 (max)
74.8 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-5.3 (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 2.4T A95B.
Speed gap
GLM-5.3 (max) generates about 1.8x as many tokens per second as Qwen3.8 2.4T A95B.
Reasoning gap
Qwen3.8 2.4T A95B leads GLM-5.3 (max) by 0.0 points on reasoning.
Coding gap
GLM-5.3 (max) leads Qwen3.8 2.4T A95B by 2.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.3 (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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Qwen3.8 2.4T A95B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Z GLM-5.3 (max) | Al Qwen3.8 2.4T A95B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $2.00/1M |
| Output Cost | $4.40/1M | $6.00/1M |
| Blended (3:1) | $2.15/1M | $3.00/1M |
| Specifications | ||
| Organization | Z AI | Alibaba |
| Release Date | Aug 18, 2026 | Aug 12, 2026 |
| Performance & Speed | ||
| Throughput | 78.8 tok/s | 45.0 tok/s |
| TTFT | 1527ms | 1836ms |
| Latency | 26908ms | 46261ms |
| Composite Indices | ||
| Value Score | 100.0 | 71.7 |
| Reasoning Score | 64.5 | 64.5 |
| Intelligence | 59.5 | 57.7 |
| Coding | 74.8 | 71.9 |
| Standard Benchmarks | ||
| GPQA | 91.7% | 93.5% |
| HLE | 42.3% | 42.4% |
| SciCode | 56.5% | 51.6% |
| LCR | 76.3% | 75.3% |
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 2.4T A95B has the strongest reasoning profile with a 64.5 reasoning score,combining the available reasoning-heavy benchmarks.
GLM-5.3 (max) reaches a 74.8 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
GLM-5.3 (max)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Qwen3.8 2.4T A95B
- Complex reasoning tasks
- Research & analysis