Model Comparison
Qwen2.5 Instruct 72B
vs. Qwen3 1.7B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3 1.7B (Reasoning)9 metric winsStrongest on: Input price, Output price, Reasoning
Lowest Price
Qwen3 1.7B (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 1.7B (Reasoning)
37.3 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
Price gap
Qwen3 1.7B (Reasoning) is ∞x cheaper on input tokens than Qwen2.5 Instruct 72B.
Reasoning gap
Qwen3 1.7B (Reasoning) leads Qwen2.5 Instruct 72B by 9.7 points on reasoning.
Top-pick rationale
Qwen3 1.7B (Reasoning) wins 9 measurable categories, including Input price, Output price, Reasoning, Math.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Instruct 72B
Alibaba
TTFT
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Cost
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Qwen3 1.7B (Reasoning)
Alibaba
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 | Al Qwen2.5 Instruct 72B | Top Pick Al Qwen3 1.7B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.47/1M | $0.00/1M |
| Output Cost | $0.49/1M | $0.00/1M |
| Blended (3:1) | $0.48/1M | — |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Sep 19, 2024 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 27.5 | 37.3 |
| Intelligence | 9.6 | 2.6 |
| Math | 14.0 | 38.7 |
| Standard Benchmarks | ||
| GPQA | 49.1% | 35.6% |
| MMLU Pro | 72.0% | 57.0% |
| HLE | 4.2% | 4.8% |
| LiveCodeBench | 27.6% | 30.8% |
| MATH 500 | 85.8% | 89.4% |
| AIME 2025 | 14.0% | 38.7% |
| AIME (Original) | 16.0% | 51.0% |
| SciCode | 26.7% | 4.3% |
| LCR | 20.3% | 0.0% |
| IFBench | 36.9% | 26.9% |
| TAU-bench v2 | 34.5% | 26.0% |
| TerminalBench Hard | 4.5% | 0.0% |
Key Takeaways
Qwen3 1.7B (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 1.7B (Reasoning) has the strongest reasoning profile with a 37.3 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
Qwen2.5 Instruct 72B
- General-purpose AI
- Versatile applications
Qwen3 1.7B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
