Model Comparison
QwQ 32B
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 12 benchmarks · Alibaba, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)9 metric winsStrongest 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-5.6 Sol (max)
66.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 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-5.6 Sol (max).
Speed gap
GPT-5.6 Sol (max) generates about 2.2x as many tokens per second as QwQ 32B.
Reasoning gap
GPT-5.6 Sol (max) leads QwQ 32B by 22.1 points on reasoning.
Top-pick rationale
GPT-5.6 Sol (max) 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
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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-5.6 Sol (max)
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?
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Full Comparison
| Metric | Al QwQ 32B | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| 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 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 32.9 tok/s | 73.2 tok/s |
| TTFT | 576ms | 74846ms |
| Latency | 76220ms | 74846ms |
| Composite Indices | ||
| Value Score | 100.0 | 9.9 |
| Reasoning Score | 44.7 | 66.7 |
| Intelligence | 13.4 | 58.9 |
| Coding | — | 77.4 |
| Math | 29.0 | — |
| Standard Benchmarks | ||
| GPQA | 59.3% | 94.1% |
| MMLU Pro | 76.4% | — |
| HLE | 8.2% | 47.2% |
| LiveCodeBench | 63.1% | — |
| MATH 500 | 95.7% | — |
| AIME 2025 | 29.0% | — |
| AIME (Original) | 78.0% | — |
| SciCode | 35.8% | 56.1% |
| LCR | 25.0% | 73.7% |
| IFBench | 38.8% | 72.7% |
| TAU-bench v2 | — | 85.1% |
| TerminalBench Hard | — | 65.9% |
Key Takeaways
QwQ 32B offers the best value at $0.66/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Sol (max) has the strongest reasoning profile with a 66.7 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 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-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
