Model Comparison

Qwen3.6 27B (Reasoning)
vs. GPT-5.5 (xhigh)

Comparing 2 AI models · 7 benchmarks · Alibaba, OpenAI

Recommended Pick

OpenAI logo GPT-5.5 (xhigh) 10 metric wins

Strongest on: Latency, Reasoning, Intelligence

Best Value

Alibaba logo

Qwen3.6 27B (Reasoning)

100.0 value score

47.6 reasoning / $1.35/1M

Lowest Price

Alibaba logo

Qwen3.6 27B (Reasoning)

$0.60/1M input price

Best Reasoning

OpenAI logo

GPT-5.5 (xhigh)

64.2 reasoning score

Blends available reasoning benchmarks

Best for Coding

OpenAI logo

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.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

Alibaba logo

Qwen3.6 27B (Reasoning)

Alibaba

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting
OpenAI logo

GPT-5.5 (xhigh)

OpenAI

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting

Which answer was more useful?

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Full Comparison

Metric
Alibaba logo Qwen3.6 27B (Reasoning)
Alibaba
Top Pick
OpenAI logo GPT-5.5 (xhigh)
OpenAI
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 AlibabaOpenAI
Release Date Apr 22, 2026Apr 23, 2026
Performance & Speed
Throughput 63.4 tok/s61.8 tok/s
TTFT 1330ms17292ms
Latency 90883ms17292ms
Composite Indices
Value Score 100.016.2
Reasoning Score 47.664.2
Intelligence 37.154.8
Coding 53.774.9
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

Alibaba logo

Qwen3.6 27B (Reasoning)

  • Cost-sensitive applications
  • High-volume processing
OpenAI logo

GPT-5.5 (xhigh)

  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development