Model Comparison
GLM-5.2 (max)
vs. V4 Flash 0731 (Reasoning, Max Effort)
Comparing 2 AI models · 7 benchmarks · Z AI, DeepSeek
Recommended Pick
Z GLM-5.2 (max)7 metric winsStrongest on: Throughput, Latency, Reasoning
Best Value
V4 Flash 0731 (Reasoning, Max Effort)
100.0 value score
60.4 reasoning / $0.18/1M
Lowest Price
V4 Flash 0731 (Reasoning, Max Effort)
$0.14/1M input price
Best Reasoning
GLM-5.2 (max)
61.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
V4 Flash 0731 (Reasoning, Max Effort)
69.1 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
V4 Flash 0731 (Reasoning, Max Effort) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
V4 Flash 0731 (Reasoning, Max Effort) is 9.3x cheaper on input tokens than GLM-5.2 (max).
Speed gap
GLM-5.2 (max) generates about 1.2x as many tokens per second as V4 Flash 0731 (Reasoning, Max Effort).
Reasoning gap
GLM-5.2 (max) leads V4 Flash 0731 (Reasoning, Max Effort) by 0.7 points on reasoning.
Coding gap
V4 Flash 0731 (Reasoning, Max Effort) leads GLM-5.2 (max) by 0.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.2 (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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V4 Flash 0731 (Reasoning, Max Effort)
DeepSeek
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?
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Full Comparison
| Metric | Top Pick Z GLM-5.2 (max) | De V4 Flash 0731 (Reasoning, Max Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.30/1M | $0.14/1M |
| Output Cost | $4.18/1M | $0.28/1M |
| Blended (3:1) | $2.02/1M | $0.18/1M |
| Specifications | ||
| Organization | Z AI | DeepSeek |
| Release Date | Jun 16, 2026 | Jul 31, 2026 |
| Performance & Speed | ||
| Throughput | 129.2 tok/s | 104.0 tok/s |
| TTFT | 1119ms | 968ms |
| Latency | 16600ms | 20197ms |
| Composite Indices | ||
| Value Score | 8.8 | 100.0 |
| Reasoning Score | 61.1 | 60.4 |
| Intelligence | 52.6 | 51.8 |
| Coding | 68.8 | 69.1 |
| Standard Benchmarks | ||
| GPQA | 89.5% | 90.8% |
| HLE | 41.1% | 38.6% |
| SciCode | 50.5% | 49.9% |
| LCR | 76.7% | 74.3% |
| IFBench | 73.3% | — |
| TAU-bench v2 | 99.1% | — |
| TerminalBench Hard | 50.8% | — |
Key Takeaways
V4 Flash 0731 (Reasoning, Max Effort) offers the best value at $0.14/1M,making it ideal for high-volume applications and cost-conscious projects.
GLM-5.2 (max) has the strongest reasoning profile with a 61.1 reasoning score,combining the available reasoning-heavy benchmarks.
V4 Flash 0731 (Reasoning, Max Effort) reaches a 69.1 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
V4 Flash 0731 (Reasoning, Max Effort)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
