Model Comparison
Gemini 3.1 Flash-Lite
vs. Sonar Reasoning
Comparing 2 AI models · 9 benchmarks · Google, Perplexity
Recommended Pick
Pe Sonar Reasoning 5 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Sonar Reasoning
$0.00/1M input price
Best Reasoning
Sonar Reasoning
62.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Flash-Lite
30.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Sonar Reasoning is ∞x cheaper on input tokens than Gemini 3.1 Flash-Lite.
Reasoning gap
Sonar Reasoning leads Gemini 3.1 Flash-Lite by 18.4 points on reasoning.
Top-pick rationale
Sonar Reasoning wins 5 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.
Gemini 3.1 Flash-Lite
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Sonar Reasoning
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Go Gemini 3.1 Flash-Lite | Top Pick Pe Sonar Reasoning |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.25/1M | $0.00/1M |
| Output Cost | $1.50/1M | $0.00/1M |
| Blended (3:1) | $0.56/1M | — |
| Specifications | ||
| Organization | Perplexity | |
| Release Date | Mar 3, 2026 | Jan 28, 2025 |
| Performance & Speed | ||
| Throughput | 306.0 tok/s | — |
| TTFT | 4603ms | — |
| Latency | 4603ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 44.0 | 62.3 |
| Intelligence | 33.5 | 17.9 |
| Coding | 30.1 | — |
| Standard Benchmarks | ||
| GPQA | 82.2% | 62.3% |
| HLE | 16.2% | — |
| MATH 500 | — | 92.1% |
| AIME (Original) | — | 77.0% |
| SciCode | 41.9% | — |
| LCR | 65.3% | — |
| IFBench | 77.2% | — |
| TAU-bench v2 | 31.3% | — |
| TerminalBench Hard | 24.2% | — |
Key Takeaways
Sonar Reasoning offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Sonar Reasoning has the strongest reasoning profile with a 62.3 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Flash-Lite reaches a 30.1 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
Gemini 3.1 Flash-Lite
- Code generation
- Software development
Sonar Reasoning
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
