Model Comparison
Nova 2.0 Omni (medium)
vs. Qwen2.5 Instruct 72B
Comparing 2 AI models · 12 benchmarks · Amazon, Alibaba
Recommended Pick
Am Nova 2.0 Omni (medium) 14 metric wins Strongest on: Input price, Reasoning, Intelligence
Best Value
Qwen2.5 Instruct 72B
100.0 value score
28.4 reasoning / $0.37/1M
Lowest Price
Nova 2.0 Omni (medium)
$0.30/1M input price
Best Reasoning
Nova 2.0 Omni (medium)
58.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Nova 2.0 Omni (medium)
15.1 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
Qwen2.5 Instruct 72B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Nova 2.0 Omni (medium) is 1.2x cheaper on input tokens than Qwen2.5 Instruct 72B.
Reasoning gap
Nova 2.0 Omni (medium) leads Qwen2.5 Instruct 72B by 29.6 points on reasoning.
Coding gap
Nova 2.0 Omni (medium) leads Qwen2.5 Instruct 72B by 3.2 points on coding.
Top-pick rationale
Nova 2.0 Omni (medium) wins 14 measurable categories, including Input price, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Nova 2.0 Omni (medium)
Amazon
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Instruct 72B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Am Nova 2.0 Omni (medium) | Al Qwen2.5 Instruct 72B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $0.36/1M |
| Output Cost | $2.50/1M | $0.40/1M |
| Blended (3:1) | $0.85/1M | $0.37/1M |
| Specifications | ||
| Organization | Amazon | Alibaba |
| Release Date | Nov 26, 2025 | Sep 19, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 89.0 | 100.0 |
| Reasoning Score | 58.0 | 28.4 |
| Intelligence | 28.0 | 15.6 |
| Coding | 15.1 | 11.9 |
| Math | 89.7 | 14.0 |
| Standard Benchmarks | ||
| GPQA | 76.0% | 49.1% |
| MMLU Pro | 80.9% | 72.0% |
| HLE | 6.8% | 4.2% |
| LiveCodeBench | 66.0% | 27.6% |
| MATH 500 | — | 85.8% |
| AIME 2025 | 89.7% | 14.0% |
| AIME (Original) | — | 16.0% |
| SciCode | 36.2% | 26.7% |
| LCR | 53.7% | 20.3% |
| IFBench | 66.2% | 36.9% |
| TAU-bench v2 | 80.4% | 34.5% |
| TerminalBench Hard | 4.5% | 4.5% |
Key Takeaways
Nova 2.0 Omni (medium) offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
Nova 2.0 Omni (medium) has the strongest reasoning profile with a 58.0 reasoning score, combining the available reasoning-heavy benchmarks.
Nova 2.0 Omni (medium) reaches a 15.1 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
Nova 2.0 Omni (medium)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen2.5 Instruct 72B
- General-purpose AI
- Versatile applications
