Model Comparison
QwQ 32B
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 12 benchmarks · Alibaba, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 9 metric wins Strongest on: Throughput, Latency, Reasoning
Best Value
QwQ 32B
100.0 value score
44.7 reasoning / $0.74/1M
Lowest Price
QwQ 32B
$0.66/1M input price
Best Reasoning
GPT-5.5 (xhigh)
64.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
74.9 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
QwQ 32B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
QwQ 32B is 7.6x cheaper on input tokens than GPT-5.5 (xhigh).
Speed gap
GPT-5.5 (xhigh) generates about 1.9x as many tokens per second as QwQ 32B.
Reasoning gap
GPT-5.5 (xhigh) leads QwQ 32B by 19.5 points on reasoning.
Top-pick rationale
GPT-5.5 (xhigh) wins 9 measurable categories, including Throughput, Latency, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
QwQ 32B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
GPT-5.5 (xhigh)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al QwQ 32B | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.66/1M | $5.00/1M |
| Output Cost | $1.00/1M | $30.00/1M |
| Blended (3:1) | $0.74/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Mar 5, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 32.2 tok/s | 62.6 tok/s |
| TTFT | 444ms | 56576ms |
| Latency | 77848ms | 56576ms |
| Composite Indices | ||
| Value Score | 100.0 | 9.5 |
| Reasoning Score | 44.7 | 64.2 |
| Intelligence | 13.4 | 54.8 |
| Coding | — | 74.9 |
| Math | 29.0 | — |
| Standard Benchmarks | ||
| GPQA | 59.3% | 93.5% |
| MMLU Pro | 76.4% | — |
| HLE | 8.2% | 44.3% |
| LiveCodeBench | 63.1% | — |
| MATH 500 | 95.7% | — |
| AIME 2025 | 29.0% | — |
| AIME (Original) | 78.0% | — |
| SciCode | 35.8% | 56.1% |
| LCR | 25.0% | 74.3% |
| IFBench | 38.8% | 75.9% |
| TAU-bench v2 | — | 93.9% |
| TerminalBench Hard | — | 60.6% |
Key Takeaways
QwQ 32B offers the best value at $0.66/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 64.2 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 74.9 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
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
