Model Comparison
Qwen3.5 Omni Flash
vs. Sonar Pro
Comparing 2 AI models · 11 benchmarks · Alibaba, Perplexity
Recommended Pick
Strongest on: Input price, Output price, TTFT
Lowest Price
Sonar Pro
$0.00/1M input price
Best Reasoning
Sonar Pro
35.7 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
Price gap
Sonar Pro is ∞x cheaper on input tokens than Qwen3.5 Omni Flash.
Reasoning gap
Sonar Pro leads Qwen3.5 Omni Flash by 2.3 points on reasoning.
Top-pick rationale
Sonar Pro wins 6 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 Omni Flash
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Sonar Pro
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.5 Omni Flash | Top Pick Pe Sonar Pro |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.00/1M |
| Output Cost | $0.80/1M | $0.00/1M |
| Blended (3:1) | $0.28/1M | — |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Mar 30, 2026 | Jan 21, 2025 |
| Performance & Speed | ||
| Throughput | 245.1 tok/s | — |
| TTFT | 1068ms | — |
| Latency | 1068ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 33.4 | 35.7 |
| Intelligence | 19.0 | 9.3 |
| Standard Benchmarks | ||
| GPQA | 74.2% | 57.8% |
| MMLU Pro | — | 75.5% |
| HLE | 7.1% | 7.9% |
| LiveCodeBench | — | 27.5% |
| MATH 500 | — | 74.5% |
| AIME (Original) | — | 29.0% |
| SciCode | 25.5% | 22.6% |
| LCR | 44.0% | — |
| IFBench | 38.0% | — |
| TAU-bench v2 | 84.5% | — |
| TerminalBench Hard | 8.3% | — |
Key Takeaways
Sonar Pro offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Sonar Pro has the strongest reasoning profile with a 35.7 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
Qwen3.5 Omni Flash
- General-purpose AI
- Versatile applications
Sonar Pro
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis