Model Comparison
Sonar
vs. Tri-21B-think Preview
Comparing 2 AI models · 11 benchmarks · Perplexity, Trillion Labs
Recommended Pick
PeSonar3 metric winsStrongest on: Reasoning, HLE, SciCode
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
Reasoning gap
Sonar leads Tri-21B-think Preview by 14.5 points on reasoning.
Top-pick rationale
Sonar wins 3 measurable categories, including Reasoning, HLE, SciCode.
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
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tok/s
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Tokens
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Cost
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Tri-21B-think Preview
Trillion Labs
TTFT
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Time
—
tok/s
—
Tokens
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Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Pe Sonar | Tr Tri-21B-think Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Perplexity | Trillion Labs |
| Release Date | Jan 21, 2025 | Feb 10, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 38.8 | 24.4 |
| Intelligence | 9.5 | 13.6 |
| Standard Benchmarks | ||
| GPQA | 47.1% | 53.8% |
| MMLU Pro | 68.9% | — |
| HLE | 7.3% | 5.7% |
| LiveCodeBench | 29.5% | — |
| MATH 500 | 81.7% | — |
| AIME (Original) | 48.7% | — |
| SciCode | 22.9% | 17.8% |
| LCR | — | 14.7% |
| IFBench | — | 47.1% |
| TAU-bench v2 | — | 93.3% |
| TerminalBench Hard | — | 2.3% |
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
Tri-21B-think Preview
- General-purpose AI
- Versatile applications
