Model Comparison
Qwen3.5 9B (Reasoning)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 7 benchmarks · Alibaba, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen3.5 9B (Reasoning)
100.0 value score
38.4 reasoning / $0.11/1M
Lowest Price
Qwen3.5 9B (Reasoning)
$0.10/1M 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
Qwen3.5 9B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 9B (Reasoning) is 50x cheaper on input tokens than GPT-5.6 Sol (max).
Speed gap
GPT-5.6 Sol (max) generates about 1.1x as many tokens per second as Qwen3.5 9B (Reasoning).
Reasoning gap
GPT-5.6 Sol (max) leads Qwen3.5 9B (Reasoning) by 28.3 points on reasoning.
Coding gap
GPT-5.6 Sol (max) leads Qwen3.5 9B (Reasoning) by 48.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 9B (Reasoning)
Alibaba
TTFT
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tok/s
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GPT-5.6 Sol (max)
OpenAI
TTFT
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tok/s
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.5 9B (Reasoning) | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $5.00/1M |
| Output Cost | $0.15/1M | $30.00/1M |
| Blended (3:1) | $0.11/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Mar 2, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 65.6 tok/s | 73.9 tok/s |
| TTFT | 1197ms | 66051ms |
| Latency | 31700ms | 66051ms |
| Composite Indices | ||
| Value Score | 100.0 | 1.7 |
| Reasoning Score | 38.4 | 66.7 |
| Intelligence | 21.4 | 58.9 |
| Coding | 28.7 | 77.4 |
| Standard Benchmarks | ||
| GPQA | 80.6% | 94.1% |
| HLE | 13.3% | 47.2% |
| SciCode | 27.5% | 56.1% |
| LCR | 59.0% | 73.7% |
| IFBench | 66.7% | 72.7% |
| TAU-bench v2 | 86.8% | 85.1% |
| TerminalBench Hard | 24.2% | 65.9% |
Key Takeaways
Qwen3.5 9B (Reasoning) offers the best value at $0.10/1M,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
Qwen3.5 9B (Reasoning)
- Cost-sensitive applications
- High-volume processing
GPT-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
