Model Comparison
Qwen3.6 27B (Reasoning)
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 7 benchmarks · Alibaba, OpenAI
Recommended Pick
Strongest on: Latency, Reasoning, Intelligence
Best Value
Qwen3.6 27B (Reasoning)
100.0 value score
47.6 reasoning / $1.35/1M
Lowest Price
Qwen3.6 27B (Reasoning)
$0.60/1M 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
Qwen3.6 27B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.6 27B (Reasoning) is 8.3x cheaper on input tokens than GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads Qwen3.6 27B (Reasoning) by 16.6 points on reasoning.
Coding gap
GPT-5.5 (xhigh) leads Qwen3.6 27B (Reasoning) by 21.2 points on coding.
Top-pick rationale
GPT-5.5 (xhigh) wins 10 measurable categories, including Latency, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.6 27B (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?
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Full Comparison
| Metric | Al Qwen3.6 27B (Reasoning) | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $5.00/1M |
| Output Cost | $3.60/1M | $30.00/1M |
| Blended (3:1) | $1.35/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Apr 22, 2026 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 63.4 tok/s | 61.8 tok/s |
| TTFT | 1330ms | 17292ms |
| Latency | 90883ms | 17292ms |
| Composite Indices | ||
| Value Score | 100.0 | 16.2 |
| Reasoning Score | 47.6 | 64.2 |
| Intelligence | 37.1 | 54.8 |
| Coding | 53.7 | 74.9 |
| Standard Benchmarks | ||
| GPQA | 84.2% | 93.5% |
| HLE | 21.6% | 44.3% |
| SciCode | 39.8% | 56.1% |
| LCR | 68.7% | 74.3% |
| IFBench | 67.6% | 75.9% |
| TAU-bench v2 | 94.2% | 93.9% |
| TerminalBench Hard | 34.8% | 60.6% |
Key Takeaways
Qwen3.6 27B (Reasoning) offers the best value at $0.60/1M, 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
Qwen3.6 27B (Reasoning)
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development