Model Comparison
Sonar
vs. Trinity Large Thinking
Comparing 2 AI models · 11 benchmarks · Perplexity, Arcee AI
Recommended Pick
ArTrinity Large Thinking5 metric winsStrongest on: Throughput, Intelligence, GPQA
Lowest Price
Sonar
$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
Price gap
Sonar is ∞x cheaper on input tokens than Trinity Large Thinking.
Reasoning gap
Sonar leads Trinity Large Thinking by 0.7 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 5 measurable categories, including Throughput, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Sonar
Perplexity
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Pe Sonar | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.23/1M |
| Output Cost | $0.00/1M | $0.88/1M |
| Blended (3:1) | — | $0.40/1M |
| Specifications | ||
| Organization | Perplexity | Arcee AI |
| Release Date | Jan 21, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | — | 179.7 tok/s |
| TTFT | — | 689ms |
| Latency | — | 11819ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 38.8 | 38.1 |
| Intelligence | 9.5 | 24.5 |
| Standard Benchmarks | ||
| GPQA | 47.1% | 75.2% |
| MMLU Pro | 68.9% | — |
| HLE | 7.3% | 14.7% |
| LiveCodeBench | 29.5% | — |
| MATH 500 | 81.7% | — |
| AIME (Original) | 48.7% | — |
| SciCode | 22.9% | 36.1% |
| LCR | — | 33.0% |
| IFBench | — | 56.3% |
| TAU-bench v2 | — | 90.1% |
| TerminalBench Hard | — | 22.7% |
Key Takeaways
Sonar 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
Sonar
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Trinity Large Thinking
- General-purpose AI
- Versatile applications
