Model Comparison
105B (high)
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 0 benchmarks · Sarvam, Allen Institute for AI
Recommended Pick
Sa105B (high)2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
105B (high)
11.9 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Reasoning gap
105B (high) leads Llama 3.1 Tulu3 405B by 3.8 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.
105B (high)
Sarvam
TTFT
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tok/s
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Tokens
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Cost
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Llama 3.1 Tulu3 405B
Allen Institute for AI
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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Which answer was more useful?
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OpenAI-compatible inference
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Full Comparison
| Metric | Top Pick Sa 105B (high) | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.04/1M | — |
| Output Cost | $0.17/1M | — |
| Blended (3:1) | $0.07/1M | — |
| Specifications | ||
| Organization | Sarvam | Allen Institute for AI |
| Release Date | Mar 6, 2026 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 11.9 | 8.1 |
| Intelligence | 11.9 | 8.1 |
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 11.9 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)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Llama 3.1 Tulu3 405B
- General-purpose AI
- Versatile applications
