Model Comparison
GLM-5.2 (max)
vs. GLM 5V Turbo (Reasoning)
Comparing 2 AI models · 7 benchmarks · Z AI
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
GLM 5V Turbo (Reasoning)
$0.00/1M input price
Best Reasoning
GLM-5.2 (max)
60.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.2 (max)
68.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
GLM 5V Turbo (Reasoning) is ∞x cheaper on input tokens than GLM-5.2 (max).
Reasoning gap
GLM-5.2 (max) leads GLM 5V Turbo (Reasoning) by 16.5 points on reasoning.
Top-pick rationale
GLM-5.2 (max) wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.2 (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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GLM 5V Turbo (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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Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-5.2 (max) | Z GLM 5V Turbo (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $0.00/1M |
| Output Cost | $4.40/1M | $0.00/1M |
| Blended (3:1) | $2.15/1M | — |
| Specifications | ||
| Organization | Z AI | Z AI |
| Release Date | Jun 16, 2026 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 79.1 tok/s | — |
| TTFT | 1154ms | — |
| Latency | 26448ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 60.2 | 43.7 |
| Intelligence | 51.1 | 34.5 |
| Coding | 68.8 | — |
| Standard Benchmarks | ||
| GPQA | 89.5% | 80.9% |
| HLE | 40.1% | 15.8% |
| SciCode | 50.5% | 43.5% |
| LCR | 71.3% | 61.0% |
| IFBench | 73.3% | 61.1% |
| TAU-bench v2 | 99.1% | 98.5% |
| TerminalBench Hard | 50.8% | 32.6% |
Key Takeaways
GLM 5V Turbo (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-5.2 (max) has the strongest reasoning profile with a 60.2 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-5.2 (max) reaches a 68.8 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-5.2 (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
GLM 5V Turbo (Reasoning)
- Cost-sensitive applications
- High-volume processing