Model Comparison
Qwen3.5 Omni Plus
vs. QwQ 32B-Preview
Comparing 2 AI models · 11 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 Omni Plus6 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
QwQ 32B-Preview
$0.00/1M input price
Best Reasoning
Qwen3.5 Omni Plus
42.4 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
QwQ 32B-Preview is ∞x cheaper on input tokens than Qwen3.5 Omni Plus.
Reasoning gap
Qwen3.5 Omni Plus leads QwQ 32B-Preview by 1.2 points on reasoning.
Top-pick rationale
Qwen3.5 Omni Plus wins 6 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.
Qwen3.5 Omni Plus
Alibaba
TTFT
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tok/s
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Cost
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QwQ 32B-Preview
Alibaba
TTFT
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen3.5 Omni Plus | Al QwQ 32B-Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.40/1M | $0.00/1M |
| Output Cost | $4.80/1M | $0.00/1M |
| Blended (3:1) | $1.50/1M | — |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Mar 30, 2026 | Nov 27, 2024 |
| Performance & Speed | ||
| Throughput | 54.3 tok/s | — |
| TTFT | 1220ms | — |
| Latency | 1220ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 42.4 | 41.2 |
| Intelligence | 30.6 | 9.2 |
| Standard Benchmarks | ||
| GPQA | 82.6% | 55.7% |
| MMLU Pro | — | 64.8% |
| HLE | 13.9% | 4.8% |
| LiveCodeBench | — | 33.7% |
| MATH 500 | — | 91.0% |
| AIME (Original) | — | 45.3% |
| SciCode | 40.5% | 3.8% |
| LCR | 52.7% | — |
| IFBench | 51.2% | — |
| TAU-bench v2 | 88.3% | — |
| TerminalBench Hard | 21.2% | — |
Key Takeaways
QwQ 32B-Preview offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 Omni Plus has the strongest reasoning profile with a 42.4 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
Qwen3.5 Omni Plus
- Complex reasoning tasks
- Research & analysis
QwQ 32B-Preview
- Cost-sensitive applications
- High-volume processing
