Model Comparison
GLM-5 (Reasoning)
vs. GPT-5.5 (Xhigh)
Comparing 2 AI models · 0 benchmarks · Z AI, OpenAI
Recommended Pick
Z GLM-5 (Reasoning)5 metric winsStrongest on: Value, Input price, Output price
Best Value
GLM-5 (Reasoning)
100.0 value score
27.9 reasoning / $1.55/1M
Lowest Price
GLM-5 (Reasoning)
$1.00/1M input price
Best Reasoning
GPT-5.5 (Xhigh)
38.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (Xhigh)
74.9 coding index
Differences That Matter
Best value
GLM-5 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-5 (Reasoning) is 5.0x cheaper on input tokens than GPT-5.5 (Xhigh).
Speed gap
GPT-5.5 (Xhigh) generates about 1.4x as many tokens per second as GLM-5 (Reasoning).
Reasoning gap
GPT-5.5 (Xhigh) leads GLM-5 (Reasoning) by 10.5 points on reasoning.
Top-pick rationale
GLM-5 (Reasoning) wins 5 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 (Reasoning)
Z AI
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
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GPT-5.5 (Xhigh)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
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Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Z GLM-5 (Reasoning) | Op GPT-5.5 (Xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.00/1M | $5.00/1M |
| Output Cost | $3.20/1M | $30.00/1M |
| Blended (3:1) | $1.55/1M | $11.25/1M |
| Specifications | ||
| Organization | Z AI | OpenAI |
| Release Date | Feb 11, 2026 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 71.7 tok/s | 99.3 tok/s |
| TTFT | 1580ms | 44380ms |
| Latency | 44900ms | 44380ms |
| Composite Indices | ||
| Value Score | 100.0 | 19.0 |
| Reasoning Score | 27.9 | 38.4 |
| Intelligence | 27.9 | 38.4 |
| Coding | — | 74.9 |
Key Takeaways
GLM-5 (Reasoning) offers the best value at $1.00/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (Xhigh) has the strongest reasoning profile with a 38.4 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.5 (Xhigh) reaches a 74.9 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 (Reasoning)
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (Xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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