Eagle vs Sarvam-105B
Eagle from Safeguard and Sarvam-105B from Sarvam AI, side by side. Every figure comes from the model registry. No markup on model usage: you pay the provider's list price.
| Attribute | Eagle | |
|---|---|---|
| Provider | Safeguard | Sarvam AI |
| Model id | safeguard/eagle | sarvam/sarvam-105b |
| Status | Available via Safeguard | Available via Safeguard |
| Input / 1M tokens | $0.00001 | Price on request |
| Output / 1M tokens | $0.00001 | Price on request |
| Price notes | Sarvam lists INR 29.28 input, INR 10.98 cached input and INR 73.20 output per 1M tokens. Prices are in Indian rupees only, so no US dollar price is shown. | |
| Context | 1M | 131K |
| Parameters | 70B | 105B |
| Max output | Not published | Not published |
| Modality | Text | Text |
| Weights | Safeguard | Open |
| Zero data retention | Not stated | Available |
| Prompts go to | Safeguard, on its own infrastructure | Sarvam AI through its API: the managed environment runs in Microsoft Azure's Central India region and LLM inference on GPU infrastructure in India run by Yotta and NxtGen. A copy of the open weights you host sends nothing to Sarvam. |
| Retention | Customer data is never used to train shared models. | Sarvam keeps Model API data until the workspace Owner sets a retention period, and No retention (0 days) is available for Model APIs. Sarvam's terms let it train its own models on inputs and outputs as its Privacy Policy and the law allow, with consent where required, and its Trust Center says one customer's data never trains models for another customer. |
| Region | The region your Safeguard workspace runs in | India: Sarvam's managed production environment runs in Microsoft Azure's Central India region. |
| Price checked | 2026-10-09 | 2026-10-09 |
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