Model Comparison
Qwen Chat 72B
vs. Qwen2.5 Instruct 72B
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
Strongest on: Reasoning, Intelligence
Lowest Price
Qwen Chat 72B
$0.00/1M input price
Best Reasoning
Qwen2.5 Instruct 72B
27.5 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
Qwen Chat 72B is ∞x cheaper on input tokens than Qwen2.5 Instruct 72B.
Reasoning gap
Qwen2.5 Instruct 72B leads Qwen Chat 72B by 24.1 points on reasoning.
Top-pick rationale
Qwen2.5 Instruct 72B wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen Chat 72B
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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Qwen2.5 Instruct 72B
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 Qwen Chat 72B | Top Pick Al Qwen2.5 Instruct 72B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.47/1M |
| Output Cost | $0.00/1M | $0.49/1M |
| Blended (3:1) | — | $0.48/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Nov 30, 2023 | Sep 19, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 3.4 | 27.5 |
| Intelligence | 3.4 | 9.6 |
| Math | — | 14.0 |
| Standard Benchmarks | ||
| GPQA | — | 49.1% |
| MMLU Pro | — | 72.0% |
| HLE | — | 4.2% |
| LiveCodeBench | — | 27.6% |
| MATH 500 | — | 85.8% |
| AIME 2025 | — | 14.0% |
| AIME (Original) | — | 16.0% |
| SciCode | — | 26.7% |
| LCR | — | 20.3% |
| IFBench | — | 36.9% |
| TAU-bench v2 | — | 34.5% |
| TerminalBench Hard | — | 4.5% |
Key Takeaways
Qwen Chat 72B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Instruct 72B has the strongest reasoning profile with a 27.5 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
Qwen Chat 72B
- Cost-sensitive applications
- High-volume processing
Qwen2.5 Instruct 72B
- Complex reasoning tasks
- Research & analysis