Model Comparison
105B (high)
vs. Tri-21B-Think
Comparing 2 AI models · 7 benchmarks · Sarvam, Trillion Labs
Recommended Pick
TrTri-21B-Think8 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
Tri-21B-Think
$0.00/1M input price
Best Reasoning
105B (high)
31.9 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
Tri-21B-Think is ∞x cheaper on input tokens than 105B (high).
Reasoning gap
105B (high) leads Tri-21B-Think by 5.7 points on reasoning.
Top-pick rationale
Tri-21B-Think wins 8 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.
105B (high)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Tri-21B-Think
Trillion Labs
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Sa 105B (high) | Top Pick Tr Tri-21B-Think |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.04/1M | $0.00/1M |
| Output Cost | $0.17/1M | $0.00/1M |
| Blended (3:1) | $0.07/1M | — |
| Specifications | ||
| Organization | Sarvam | Trillion Labs |
| Release Date | Mar 6, 2026 | Feb 10, 2026 |
| Performance & Speed | ||
| Throughput | 142.3 tok/s | — |
| TTFT | 1168ms | — |
| Latency | 15224ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 31.9 | 26.2 |
| Intelligence | 11.9 | 12.4 |
| Standard Benchmarks | ||
| GPQA | 73.8% | 60.1% |
| HLE | 10.1% | 6.1% |
| SciCode | 26.4% | 17.4% |
| LCR | 0.0% | 11.0% |
| IFBench | 34.4% | 54.6% |
| TAU-bench v2 | 46.8% | 81.0% |
| TerminalBench Hard | 1.5% | 0.8% |
Key Takeaways
Tri-21B-Think offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
105B (high) has the strongest reasoning profile with a 31.9 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
105B (high)
- Complex reasoning tasks
- Research & analysis
Tri-21B-Think
- Cost-sensitive applications
- High-volume processing
