Model Comparison
Qwen3 32B (Reasoning)
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 12 benchmarks · Alibaba, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Qwen3 32B (Reasoning)
100.0 value score
59.2 reasoning / $0.28/1M
Lowest Price
Qwen3 32B (Reasoning)
$0.20/1M input price
Best Reasoning
GPT-5.5 (xhigh)
66.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
59.1 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 32B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 32B (Reasoning) is 25.6x cheaper on input tokens than GPT-5.5 (xhigh).
Speed gap
Qwen3 32B (Reasoning) generates about 1.4x as many tokens per second as GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads Qwen3 32B (Reasoning) by 6.8 points on reasoning.
Coding gap
GPT-5.5 (xhigh) leads Qwen3 32B (Reasoning) by 45.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 32B (Reasoning)
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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GPT-5.5 (xhigh)
OpenAI
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?
Full Comparison
| Metric | Al Qwen3 32B (Reasoning) | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $5.00/1M |
| Output Cost | $0.52/1M | $30.00/1M |
| Blended (3:1) | $0.28/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Apr 28, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 99.2 tok/s | 70.7 tok/s |
| TTFT | 1062ms | 43813ms |
| Latency | 21223ms | 43813ms |
| Composite Indices | ||
| Value Score | 100.0 | 2.7 |
| Reasoning Score | 59.2 | 66.0 |
| Intelligence | 16.5 | 60.2 |
| Coding | 13.8 | 59.1 |
| Math | 73.0 | — |
| Standard Benchmarks | ||
| GPQA | 66.8% | 93.5% |
| MMLU Pro | 79.8% | — |
| HLE | 8.3% | 44.3% |
| LiveCodeBench | 54.6% | — |
| MATH 500 | 96.1% | — |
| AIME 2025 | 73.0% | — |
| AIME (Original) | 80.7% | — |
| SciCode | 35.4% | 56.1% |
| LCR | 0.0% | 74.3% |
| IFBench | 36.3% | 75.9% |
| TAU-bench v2 | 29.8% | 93.9% |
| TerminalBench Hard | 3.0% | 60.6% |
Key Takeaways
Qwen3 32B (Reasoning) offers the best value at $0.20/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 66.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 59.1 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 32B (Reasoning)
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
