Model Comparison
30B (high)
vs. Tri-21B-think Preview
Comparing 2 AI models · 7 benchmarks · Sarvam, Trillion Labs
Recommended Pick
TrTri-21B-think Preview8 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
Tri-21B-think Preview
$0.00/1M input price
Best Reasoning
30B (high)
25.6 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 Preview is ∞x cheaper on input tokens than 30B (high).
Reasoning gap
30B (high) leads Tri-21B-think Preview by 1.3 points on reasoning.
Top-pick rationale
Tri-21B-think Preview 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.
30B (high)
Sarvam
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
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Sa 30B (high) | Top Pick Tr Tri-21B-think Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.03/1M | $0.00/1M |
| Output Cost | $0.11/1M | $0.00/1M |
| Blended (3:1) | $0.05/1M | — |
| Specifications | ||
| Organization | Sarvam | Trillion Labs |
| Release Date | Mar 6, 2026 | Feb 10, 2026 |
| Performance & Speed | ||
| Throughput | 209.0 tok/s | — |
| TTFT | 1160ms | — |
| Latency | 10728ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 25.6 | 24.4 |
| Intelligence | 6.6 | 13.6 |
| Standard Benchmarks | ||
| GPQA | 63.3% | 53.8% |
| HLE | 7.0% | 5.7% |
| SciCode | 19.2% | 17.8% |
| LCR | 0.0% | 14.7% |
| IFBench | 26.5% | 47.1% |
| TAU-bench v2 | 34.5% | 93.3% |
| TerminalBench Hard | 2.3% | 2.3% |
Key Takeaways
Tri-21B-think Preview offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
30B (high) has the strongest reasoning profile with a 25.6 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
30B (high)
- Complex reasoning tasks
- Research & analysis
Tri-21B-think Preview
- Cost-sensitive applications
- High-volume processing
