Model Comparison
Qwen3 14B (Non-reasoning)
vs. Qwen3 32B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3 32B (Reasoning)13 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen3 14B (Non-reasoning)
100.0 value score
41.3 reasoning / $0.61/1M
Lowest Price
Qwen3 14B (Non-reasoning)
$0.35/1M input price
Best Reasoning
Qwen3 32B (Reasoning)
58.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 32B (Reasoning)
15.3 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
Qwen3 14B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Non-reasoning) is 2.0x cheaper on input tokens than Qwen3 32B (Reasoning).
Speed gap
Qwen3 32B (Reasoning) generates about 1.6x as many tokens per second as Qwen3 14B (Non-reasoning).
Reasoning gap
Qwen3 32B (Reasoning) leads Qwen3 14B (Non-reasoning) by 17.1 points on reasoning.
Top-pick rationale
Qwen3 32B (Reasoning) wins 13 measurable categories, including Throughput, Reasoning, Intelligence, Math.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 14B (Non-reasoning)
Alibaba
TTFT
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Qwen3 32B (Reasoning)
Alibaba
TTFT
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 14B (Non-reasoning) | Top Pick Al Qwen3 32B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.70/1M |
| Output Cost | $1.40/1M | $8.40/1M |
| Blended (3:1) | $0.61/1M | $2.63/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 63.5 tok/s | 98.6 tok/s |
| TTFT | 997ms | 1071ms |
| Latency | 997ms | 21353ms |
| Composite Indices | ||
| Value Score | 100.0 | 33.0 |
| Reasoning Score | 41.3 | 58.5 |
| Intelligence | 7.0 | 11.5 |
| Coding | — | 15.3 |
| Math | 58.0 | 73.0 |
| Standard Benchmarks | ||
| GPQA | 47.0% | 66.8% |
| MMLU Pro | 67.5% | 79.8% |
| HLE | 4.2% | 8.3% |
| LiveCodeBench | 28.0% | 54.6% |
| MATH 500 | 87.1% | 96.1% |
| AIME 2025 | 58.0% | 73.0% |
| AIME (Original) | 28.0% | 80.7% |
| SciCode | 26.5% | 35.4% |
| LCR | 0.0% | 0.0% |
| IFBench | 23.9% | 36.3% |
| TAU-bench v2 | 32.2% | 29.8% |
| TerminalBench Hard | 5.3% | 3.0% |
Key Takeaways
Qwen3 14B (Non-reasoning) offers the best value at $0.35/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 32B (Reasoning) has the strongest reasoning profile with a 58.5 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 32B (Reasoning) reaches a 15.3 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
Qwen3 14B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
Qwen3 32B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
