Model Comparison
V4 Flash (Non-reasoning)
vs. GLM-4.5-Air
Comparing 2 AI models · 12 benchmarks · DeepSeek, Z AI
Recommended Pick
De V4 Flash (Non-reasoning) 13 metric wins Strongest on: Value, Input price, Output price
Best Value
V4 Flash (Non-reasoning)
100.0 value score
35.8 reasoning / $0.18/1M
Lowest Price
V4 Flash (Non-reasoning)
$0.14/1M input price
Best Reasoning
GLM-4.5-Air
60.3 reasoning score
Blends available reasoning benchmarks
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 (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
V4 Flash (Non-reasoning) is 1.2x cheaper on input tokens than GLM-4.5-Air.
Speed gap
V4 Flash (Non-reasoning) generates about 1.3x as many tokens per second as GLM-4.5-Air.
Reasoning gap
GLM-4.5-Air leads V4 Flash (Non-reasoning) by 24.5 points on reasoning.
Top-pick rationale
V4 Flash (Non-reasoning) wins 13 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.
V4 Flash (Non-reasoning)
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
GLM-4.5-Air
Z AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De V4 Flash (Non-reasoning) | Z GLM-4.5-Air |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.17/1M |
| Output Cost | $0.28/1M | $0.98/1M |
| Blended (3:1) | $0.18/1M | $0.37/1M |
| Specifications | ||
| Organization | DeepSeek | Z AI |
| Release Date | Apr 24, 2026 | Jul 28, 2025 |
| Performance & Speed | ||
| Throughput | 112.3 tok/s | 86.2 tok/s |
| TTFT | 1036ms | 1538ms |
| Latency | 1036ms | 24749ms |
| Composite Indices | ||
| Value Score | 100.0 | 79.2 |
| Reasoning Score | 35.8 | 60.3 |
| Intelligence | 28.7 | 16.5 |
| Math | — | 80.7 |
| Standard Benchmarks | ||
| GPQA | 71.6% | 73.3% |
| MMLU Pro | — | 81.5% |
| HLE | 7.0% | 6.8% |
| LiveCodeBench | — | 68.4% |
| MATH 500 | — | 96.5% |
| AIME 2025 | — | 80.7% |
| AIME (Original) | — | 67.3% |
| SciCode | 37.3% | 30.6% |
| LCR | 33.3% | 43.7% |
| IFBench | 47.2% | 37.6% |
| TAU-bench v2 | 94.4% | 46.5% |
| TerminalBench Hard | 34.1% | 20.5% |
Key Takeaways
V4 Flash (Non-reasoning) offers the best value at $0.14/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-4.5-Air has the strongest reasoning profile with a 60.3 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
V4 Flash (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
GLM-4.5-Air
- Complex reasoning tasks
- Research & analysis
