Sarvam 105B vs Tiny Aya Earth

Sarvam 105B is the better all-round choice, scoring 31/100 against Tiny Aya Earth (15). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Sarvam 105B is cheaper at $0.158 input / $0.632 output per million tokens (official Sarvam AI API price). . At a typical mix of three input tokens to one output token, that is $0.276 per million tokens for Sarvam 105B versus . Tiny Aya Earth has no published per-token price.

There is no independent benchmark that covers both models yet. Sarvam 105B has not been scored yet and Tiny Aya Earth has not been scored yet.

There are no published SWE-bench Verified results for Sarvam 105B and Tiny Aya Earth yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Sarvam 105B has the largest context window at 131,072 tokens, against 8,000 for Tiny Aya Earth. Maximum output per response: Sarvam 105B up to 131,072, Tiny Aya Earth up to 8,000 tokens.

Sarvam 105B accepts text; Tiny Aya Earth accepts text. They handle the same number of input types.

Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.

Sarvam 105B is the newest, released Feb 18, 2026. Tiny Aya Earth came out Feb 17, 2026.

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.