QwQ 32B vs Qwen3.5 397B A17B (Reasoning)
Comparing 2 AI models · 6 benchmarks · Alibaba
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Winners
QwQ 32B
- MMLU Pro
- LiveCodeBench
- MATH 500
- AIME 2025
Qwen3.5 397B A17B (Reasoning)
- GPQA
- HLE
| Metric | Al QwQ 32B | Al Qwen3.5 397B A17B (Reasoning) |
|---|---|---|
| Pricing Per 1M tokens | ||
| Input Cost | $0.43/1M | $0.60/1M |
| Output Cost | $0.60/1M | $3.60/1M |
| Blended Cost 3:1 input/output ratio | $0.47/1M | $1.35/1M |
| Specifications | ||
| Organization Model creator | Alibaba | Alibaba |
| Release Date Launch date | Mar 5, 2025 | Feb 16, 2026 |
| Performance & Speed | ||
| Throughput Output speed | 29.4 tok/s | 64.2 tok/s |
| Time to First Token (TTFT) Initial response delay | 515ms | 1296ms |
| Latency Time to first answer token | 85261ms | 32441ms |
| Composite Indices | ||
| Intelligence Index Overall reasoning capability | 19.7 | 45.0 |
| Coding Index Programming ability | — | 41.3 |
| Math Index Mathematical reasoning | 29.0 | — |
| Standard Benchmarks | ||
| GPQA Graduate-level reasoning | 59.3% | 89.3% |
| MMLU Pro Advanced knowledge | 76.4% | — |
| HLE Hard language evaluation | 8.2% | 27.3% |
| LiveCodeBench Real-world coding tasks | 63.1% | — |
| MATH 500 Mathematical problems | 95.7% | — |
| AIME 2025 Advanced math competition | 29.0% | — |
| AIME (Original) Math olympiad problems | 78.0% | — |
| SciCode Scientific code generation | 35.8% | 42.0% |
| LCR Code review capability | 25.0% | 65.7% |
| IFBench Instruction-following | 38.8% | 78.8% |
| TAU-bench v2 Tool use & agentic tasks | — | 95.6% |
| TerminalBench Hard CLI command generation | — | 40.9% |
Key Takeaways
QwQ 32B offers the best value at $0.43/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 397B A17B (Reasoning) leads in reasoning capabilities with a 89.3% GPQA score, excelling at complex analytical tasks and problem-solving.
Qwen3.5 397B A17B (Reasoning) achieves a 41.3 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
QwQ 32B
- Cost-sensitive applications
- High-volume processing
Qwen3.5 397B A17B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Try Models for Free
Try QwQ 32B for FREE
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Try Qwen3.5 397B A17B (Reasoning) for FREE
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Cost Calculator
QwQ 32B Qwen3.5 397B A17B (Reasoning) Costs are estimates based on API pricing. Actual costs may vary based on caching, batch processing, and volume discounts.
