Model Comparison
R1 1776
vs. 105B (high)
Comparing 2 AI models · 0 benchmarks · Perplexity, Sarvam
Recommended Pick
Sa105B (high)2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
105B (high)
8.8 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Reasoning gap
105B (high) leads R1 1776 by 2.4 points on reasoning.
Top-pick rationale
105B (high) wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 1776
Perplexity
TTFT
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Time
—
tok/s
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Tokens
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Cost
—
105B (high)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Pe R1 1776 | Top Pick Sa 105B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | — | $0.04/1M |
| Output Cost | — | $0.17/1M |
| Blended (3:1) | — | $0.07/1M |
| Specifications | ||
| Organization | Perplexity | Sarvam |
| Release Date | Feb 18, 2025 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 6.4 | 8.8 |
| Intelligence | 6.4 | 8.8 |
Key Takeaways
105B (high) offers the best value at $0.04/1M,making it ideal for high-volume applications and cost-conscious projects.
105B (high) has the strongest reasoning profile with a 8.8 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
R1 1776
- General-purpose AI
- Versatile applications
105B (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
