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Model

Sarvam 105B

Flagship Indian-language reasoning model for enterprise multilingual applications

3 providers · 3 listingsreleased open weights
$0.04
lowest input /M · FastRouter
$0.16
lowest output /M · FastRouter
131K
context window
131K
max output

Compare providers (sorted by listed input price)

2 of 3 providers publish a price for Sarvam 105B. The cheapest full-context option is FastRouter at $0.04/$0.16 per M.

3 listings
Cache read /MCache write /MCapabilitiesStatus
FastRouter
sarvam/sarvam-105b
$0.04$0.16131Kreasoningtoolsno structuredno visionSep 1, 2025
NanoGPT
sarvam-105b
$0.054$0.212$0.034131Kreasoningtoolsno structuredno visionSep 1, 2025
Sarvam AI
sarvam-105b
131Kreasoningtoolsno structuredno visionMar 6, 2026

Best price history

Daily lowest published price across live providers. A lower line is better for the buyer.

Best input /M
$0.04unchanged
Best output /M
$0.16unchanged
Provider coverage
3
3 at the start · 24 snapshots

Published best prices are unchanged.

24 daily snapshots collected from Aug 21, 2026 through Sep 14, 2026. A price chart will appear after the first real move.

Price badge

Current price badge for Sarvam 105B
![Sarvam 105B price](https://www.vaanalytics.in/badge/sarvam/sarvam-105b.svg)
https://www.vaanalytics.in/badge/sarvam/sarvam-105b.svg

Live SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.

Recent changes

Changelog →
  • repricedvia nano-gpt · Sep 9, 2026
    • input: $0.045 → $0.054
    • output: $0.177 → $0.212
    • cache_read: $0.028 → $0.034

Weights

Permissiveapache-2.0106B params

Standard open-source terms. Commercial use without additional conditions. Weights download without an access request.

licence and gating from the Hugging Face model card ↗ — the card is authoritative, this is a summary

Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.