Model Comparison
GLM-4.5 (Reasoning)
vs. GPT-5.2 (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Z AI, OpenAI
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
GLM-4.5 (Reasoning)
100.0 value score
63.2 reasoning / $1.00/1M
Lowest Price
GLM-4.5 (Reasoning)
$0.60/1M input price
Best Reasoning
GLM-4.5 (Reasoning)
63.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.2 (Non-reasoning)
34.7 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-4.5 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-4.5 (Reasoning) is 2.9x cheaper on input tokens than GPT-5.2 (Non-reasoning).
Speed gap
GPT-5.2 (Non-reasoning) generates about 1.4x as many tokens per second as GLM-4.5 (Reasoning).
Reasoning gap
GLM-4.5 (Reasoning) leads GPT-5.2 (Non-reasoning) by 21.9 points on reasoning.
Coding gap
GPT-5.2 (Non-reasoning) leads GLM-4.5 (Reasoning) by 8.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-4.5 (Reasoning)
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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GPT-5.2 (Non-reasoning)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-4.5 (Reasoning) | Op GPT-5.2 (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $1.75/1M |
| Output Cost | $2.20/1M | $14.00/1M |
| Blended (3:1) | $1.00/1M | $4.81/1M |
| Specifications | ||
| Organization | Z AI | OpenAI |
| Release Date | Jul 28, 2025 | Dec 11, 2025 |
| Performance & Speed | ||
| Throughput | 52.5 tok/s | 73.4 tok/s |
| TTFT | 1336ms | 771ms |
| Latency | 39407ms | 771ms |
| Composite Indices | ||
| Value Score | 100.0 | 13.6 |
| Reasoning Score | 63.2 | 41.3 |
| Intelligence | 19.5 | 26.0 |
| Coding | 26.3 | 34.7 |
| Math | 73.7 | 51.0 |
| Standard Benchmarks | ||
| GPQA | 78.2% | 71.2% |
| MMLU Pro | 83.5% | 81.4% |
| HLE | 12.2% | 7.3% |
| LiveCodeBench | 73.8% | 66.9% |
| MATH 500 | 97.9% | — |
| AIME 2025 | 73.7% | 51.0% |
| AIME (Original) | 87.3% | — |
| SciCode | 34.8% | 40.4% |
| LCR | 48.3% | 38.0% |
| IFBench | 44.1% | 47.4% |
| TAU-bench v2 | 43.0% | 46.5% |
| TerminalBench Hard | 22.0% | 31.8% |
Key Takeaways
GLM-4.5 (Reasoning) offers the best value at $0.60/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-4.5 (Reasoning) has the strongest reasoning profile with a 63.2 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.2 (Non-reasoning) reaches a 34.7 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-4.5 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
GPT-5.2 (Non-reasoning)
- Code generation
- Software development