Compare models
Pick two to four models. No markup on model usage: you pay the provider's list price.
| Attribute | ||
|---|---|---|
| Provider | Alibaba Cloud (Qwen) | Sarvam AI |
| Model id | qwen/qwen3.8-2.4t-a95b | sarvam/sarvam-105b |
| Status | Available via Safeguard | Available via Safeguard |
| Input / 1M tokens | $2 | Price on request |
| Output / 1M tokens | $6 | Price on request |
| Price notes | International (Singapore), 0 to 1M input tokens, both modes. | 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 | Not published | 131K |
| Parameters | Not published | 105B |
| Max output | Not published | Not published |
| Modality | Text | Text |
| Weights | Open | Open |
| Zero data retention | Not stated | Available |
| Prompts go to | Alibaba Cloud Model Studio (prices shown are for the Singapore / International deployment) | 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 | Alibaba Cloud states it never uses your data for model training, Model Studio stores data generated from model calls as required by law (no period stated) | 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 | Singapore (International) for these prices, other regions such as China (Beijing), Hong Kong, Frankfurt, Virginia and Tokyo have separate price lists | India: Sarvam's managed production environment runs in Microsoft Azure's Central India region. |
| Price checked | 2026-10-10 | 2026-10-10 |
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