Model Comparison
GLM-5.3 (max)
vs. Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback)
Comparing 2 AI models · 0 benchmarks · Z AI, Anthropic
Recommended Pick
Z GLM-5.3 (max)6 metric winsStrongest on: Value, Input price, Output price
Best Value
GLM-5.3 (max)
100.0 value score
44.8 reasoning / $2.15/1M
Lowest Price
GLM-5.3 (max)
$1.40/1M input price
Best Reasoning
Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback)
56.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.3 (max)
74.8 coding index
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 2.9x cheaper on input tokens than Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback).
Speed gap
Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback) generates about 1.5x as many tokens per second as GLM-5.3 (max).
Reasoning gap
Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback) leads GLM-5.3 (max) by 11.2 points on reasoning.
Top-pick rationale
GLM-5.3 (max) wins 6 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.
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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Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback)
Anthropic
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?
Secure AI Chat made in Europe
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Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Z GLM-5.3 (max) | An Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $4.00/1M |
| Output Cost | $4.40/1M | $20.00/1M |
| Blended (3:1) | $2.15/1M | $8.00/1M |
| Specifications | ||
| Organization | Z AI | Anthropic |
| Release Date | Aug 18, 2026 | Sep 17, 2026 |
| Performance & Speed | ||
| Throughput | 57.1 tok/s | 84.3 tok/s |
| TTFT | 3280ms | 170230ms |
| Latency | 38340ms | 170230ms |
| Composite Indices | ||
| Value Score | 100.0 | 33.6 |
| Reasoning Score | 44.8 | 56.0 |
| Intelligence | 44.8 | 56.0 |
| Coding | 74.8 | — |
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.
Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback) has the strongest reasoning profile with a 56.0 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
Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback)
- Complex reasoning tasks
- Research & analysis
