Model Comparison
Qwen1.5 Chat 110B
vs. Sonar
Comparing 2 AI models · 7 benchmarks · Alibaba, Perplexity
Recommended Pick
PeSonar3 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Qwen1.5 Chat 110B
$0.00/1M input price
Best Reasoning
Sonar
38.8 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Sonar leads Qwen1.5 Chat 110B by 22.3 points on reasoning.
Top-pick rationale
Sonar wins 3 measurable categories, including Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen1.5 Chat 110B
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Sonar
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Al Qwen1.5 Chat 110B | Top Pick Pe Sonar |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Apr 25, 2024 | Jan 21, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 16.5 | 38.8 |
| Intelligence | 4.1 | 9.5 |
| Standard Benchmarks | ||
| GPQA | 28.9% | 47.1% |
| MMLU Pro | — | 68.9% |
| HLE | — | 7.3% |
| LiveCodeBench | — | 29.5% |
| MATH 500 | — | 81.7% |
| AIME (Original) | — | 48.7% |
| SciCode | — | 22.9% |
Key Takeaways
Qwen1.5 Chat 110B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Sonar has the strongest reasoning profile with a 38.8 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen1.5 Chat 110B
- Cost-sensitive applications
- High-volume processing
Sonar
- Complex reasoning tasks
- Research & analysis
