Model Comparison
GLM-4.5-Air
vs. Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
Comparing 2 AI models · 12 benchmarks · Z AI, NVIDIA
Recommended Pick
Z GLM-4.5-Air 17 metric wins Strongest on: Value, Input price, Output price
Best Value
GLM-4.5-Air
100.0 value score
61.2 reasoning / $0.37/1M
Lowest Price
GLM-4.5-Air
$0.17/1M input price
Best Reasoning
GLM-4.5-Air
61.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-4.5-Air
23.8 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-Air has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-4.5-Air is 3.5x cheaper on input tokens than Llama 3.1 Nemotron Ultra 253B v1 (Reasoning).
Speed gap
GLM-4.5-Air generates about 1.5x as many tokens per second as Llama 3.1 Nemotron Ultra 253B v1 (Reasoning).
Reasoning gap
GLM-4.5-Air leads Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) by 5.1 points on reasoning.
Coding gap
GLM-4.5-Air leads Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) by 10.7 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-Air
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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Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
NVIDIA
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-4.5-Air | NV Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.17/1M | $0.60/1M |
| Output Cost | $0.98/1M | $1.80/1M |
| Blended (3:1) | $0.37/1M | $0.90/1M |
| Specifications | ||
| Organization | Z AI | NVIDIA |
| Release Date | Jul 28, 2025 | Apr 7, 2025 |
| Performance & Speed | ||
| Throughput | 75.4 tok/s | 51.4 tok/s |
| TTFT | 1742ms | 775ms |
| Latency | 28268ms | 39690ms |
| Composite Indices | ||
| Value Score | 100.0 | 38.0 |
| Reasoning Score | 61.2 | 56.2 |
| Intelligence | 23.2 | 15.0 |
| Coding | 23.8 | 13.1 |
| Math | 80.7 | 63.7 |
| Standard Benchmarks | ||
| GPQA | 73.3% | 72.8% |
| MMLU Pro | 81.5% | 82.5% |
| HLE | 6.8% | 8.1% |
| LiveCodeBench | 68.4% | 64.1% |
| MATH 500 | 96.5% | 95.2% |
| AIME 2025 | 80.7% | 63.7% |
| AIME (Original) | 67.3% | 74.7% |
| SciCode | 30.6% | 34.7% |
| LCR | 43.7% | 7.3% |
| IFBench | 37.6% | 38.2% |
| TAU-bench v2 | 46.5% | 11.4% |
| TerminalBench Hard | 20.5% | 2.3% |
Key Takeaways
GLM-4.5-Air offers the best value at $0.17/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-4.5-Air has the strongest reasoning profile with a 61.2 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-4.5-Air reaches a 23.8 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-4.5-Air
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
- General-purpose AI
- Versatile applications
