Model Comparison

Qwen3.8 27B (low)
vs. Sonar

Comparing 2 AI models · 0 benchmarks · Alibaba, Perplexity

Recommended Pick

Alibaba logoQwen3.8 27B (low)2 metric wins

Strongest on: Reasoning, Intelligence

Lowest Price

Alibaba logo

Qwen3.8 27B (low)

$0.50/1M input price

Best Reasoning

Alibaba logo

Qwen3.8 27B (low)

42.9 reasoning score

Blends available reasoning benchmarks

Best for Coding

Alibaba logo

Qwen3.8 27B (low)

58.2 coding index

Differences That Matter

Reasoning gap

Qwen3.8 27B (low) leads Sonar by 33.5 points on reasoning.

Top-pick rationale

Qwen3.8 27B (low) wins 2 measurable categories, including Reasoning, Intelligence.

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Response Face-Off

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Alibaba logo

Qwen3.8 27B (low)

Alibaba

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TTFT

Time

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Tokens

Cost

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Perplexity logo

Sonar

Perplexity

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TTFT

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Full Comparison

Metric
Top Pick
Alibaba logoQwen3.8 27B (low)
Alibaba
Perplexity logoSonar
Perplexity
Pricing per 1M tokens
Input Cost$0.50/1M
Output Cost$3.00/1M
Blended (3:1)$1.13/1M
Specifications
OrganizationAlibabaPerplexity
Release DateAug 14, 2026Jan 21, 2025
Performance & Speed
Throughput50.8 tok/s
TTFT3880ms
Latency43240ms
Composite Indices
Value Score100.0
Reasoning Score42.99.4
Intelligence42.99.4
Coding58.2

Key Takeaways

Qwen3.8 27B (low) offers the best value at $0.50/1M,making it ideal for high-volume applications and cost-conscious projects.

Qwen3.8 27B (low) has the strongest reasoning profile with a 42.9 reasoning score,combining the available reasoning-heavy benchmarks.

Qwen3.8 27B (low) reaches a 58.2 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

Qwen3.8 27B (low)

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development
Perplexity logo

Sonar

  • General-purpose AI
  • Versatile applications