Model Comparison
Qwen3 1.7B (Reasoning)
vs. Sonar
Comparing 2 AI models · 12 benchmarks · Alibaba, Perplexity
Recommended Pick
PeSonar6 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Qwen3 1.7B (Reasoning)
$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 Qwen3 1.7B (Reasoning) by 1.6 points on reasoning.
Top-pick rationale
Sonar wins 6 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 1.7B (Reasoning)
Alibaba
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Sonar
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 1.7B (Reasoning) | 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 28, 2025 | Jan 21, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 37.3 | 38.8 |
| Intelligence | 2.6 | 9.5 |
| Math | 38.7 | — |
| Standard Benchmarks | ||
| GPQA | 35.6% | 47.1% |
| MMLU Pro | 57.0% | 68.9% |
| HLE | 4.8% | 7.3% |
| LiveCodeBench | 30.8% | 29.5% |
| MATH 500 | 89.4% | 81.7% |
| AIME 2025 | 38.7% | — |
| AIME (Original) | 51.0% | 48.7% |
| SciCode | 4.3% | 22.9% |
| LCR | 0.0% | — |
| IFBench | 26.9% | — |
| TAU-bench v2 | 26.0% | — |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Qwen3 1.7B (Reasoning) 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
Qwen3 1.7B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Sonar
- Complex reasoning tasks
- Research & analysis
