Model Comparison
Qwen3.6 27B (Reasoning)
vs. R1 1776
Comparing 2 AI models · 0 benchmarks · Alibaba, Perplexity
Recommended Pick
AlQwen3.6 27B (Reasoning)2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
Qwen3.6 27B (Reasoning)
$0.60/1M input price
Best Reasoning
Qwen3.6 27B (Reasoning)
37.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 27B (Reasoning)
53.7 coding index
Differences That Matter
Reasoning gap
Qwen3.6 27B (Reasoning) leads R1 1776 by 31.7 points on reasoning.
Top-pick rationale
Qwen3.6 27B (Reasoning) wins 2 measurable categories, including Reasoning, Intelligence.
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
—
Time
—
tok/s
—
Tokens
—
Cost
—
R1 1776
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Secure AI Chat made in Europe
Processing terms vary by selected model. Review the current Privacy Policy and DPA before using sensitive data.
OpenAI-compatible inference
Choose from the current model catalog. Processing terms vary by selected model and service.
Full Comparison
| Metric | Top Pick Al Qwen3.6 27B (Reasoning) | Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | — |
| Output Cost | $3.60/1M | — |
| Blended (3:1) | $1.35/1M | — |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Apr 22, 2026 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | 52.5 tok/s | — |
| TTFT | 3640ms | — |
| Latency | 111650ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 37.7 | 6.0 |
| Intelligence | 37.7 | 6.0 |
| Coding | 53.7 | — |
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.
Qwen3.6 27B (Reasoning) has the strongest reasoning profile with a 37.7 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.6 27B (Reasoning) reaches a 53.7 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
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
R1 1776
- General-purpose AI
- Versatile applications
