Model Comparison
Qwen3 4B 2507 Instruct
vs. QwQ 32B-Preview
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwQ 32B-Preview4 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Qwen3 4B 2507 Instruct
$0.00/1M input price
Best Reasoning
QwQ 32B-Preview
41.2 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
Reasoning gap
QwQ 32B-Preview leads Qwen3 4B 2507 Instruct by 7.6 points on reasoning.
Top-pick rationale
QwQ 32B-Preview wins 4 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 4B 2507 Instruct
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-Preview
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 Qwen3 4B 2507 Instruct | Top Pick Al QwQ 32B-Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Aug 6, 2025 | Nov 27, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 33.6 | 41.2 |
| Intelligence | 7.1 | 9.2 |
| Math | 52.3 | — |
| Standard Benchmarks | ||
| GPQA | 51.7% | 55.7% |
| MMLU Pro | 67.2% | 64.8% |
| HLE | 4.7% | 4.8% |
| LiveCodeBench | 37.7% | 33.7% |
| MATH 500 | — | 91.0% |
| AIME 2025 | 52.3% | — |
| AIME (Original) | — | 45.3% |
| SciCode | 18.1% | 3.8% |
| LCR | 7.3% | — |
| IFBench | 33.5% | — |
| TAU-bench v2 | 26.6% | — |
| TerminalBench Hard | 4.5% | — |
Key Takeaways
Qwen3 4B 2507 Instruct offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
QwQ 32B-Preview has the strongest reasoning profile with a 41.2 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
Qwen3 4B 2507 Instruct
- Cost-sensitive applications
- High-volume processing
QwQ 32B-Preview
- Complex reasoning tasks
- Research & analysis
