Model Comparison
Qwen2.5 Coder Instruct 32B
vs. QwQ 32B
Comparing 2 AI models · 10 benchmarks · Alibaba
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Qwen2.5 Coder Instruct 32B
$0.00/1M input price
Best Reasoning
QwQ 32B
44.7 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
Qwen2.5 Coder Instruct 32B is ∞x cheaper on input tokens than QwQ 32B.
Reasoning gap
QwQ 32B leads Qwen2.5 Coder Instruct 32B by 16.4 points on reasoning.
Top-pick rationale
QwQ 32B wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Coder Instruct 32B
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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QwQ 32B
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 Coder Instruct 32B | Top Pick Al QwQ 32B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.66/1M |
| Output Cost | $0.00/1M | $1.00/1M |
| Blended (3:1) | — | $0.74/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Nov 11, 2024 | Mar 5, 2025 |
| Performance & Speed | ||
| Throughput | — | 32.7 tok/s |
| TTFT | — | 473ms |
| Latency | — | 76591ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 28.3 | 44.7 |
| Intelligence | 7.1 | 13.4 |
| Math | — | 29.0 |
| Standard Benchmarks | ||
| GPQA | 41.7% | 59.3% |
| MMLU Pro | 63.5% | 76.4% |
| HLE | 3.8% | 8.2% |
| LiveCodeBench | 29.5% | 63.1% |
| MATH 500 | 76.7% | 95.7% |
| AIME 2025 | — | 29.0% |
| AIME (Original) | 12.0% | 78.0% |
| SciCode | 27.1% | 35.8% |
| LCR | — | 25.0% |
| IFBench | — | 38.8% |
Key Takeaways
Qwen2.5 Coder Instruct 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
QwQ 32B has the strongest reasoning profile with a 44.7 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 Coder Instruct 32B
- Cost-sensitive applications
- High-volume processing
QwQ 32B
- Complex reasoning tasks
- Research & analysis