Llama-3.2-1B vs Command R

Llama-3.2-1B is the better all-round choice, scoring 55/100 against Command R (51). It leads on price. Command R wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Llama-3.2-1B is cheaper at $0.064 input / $0.15 output per million tokens (median across 2 API providers). Command R costs $0.15 input / $0.60 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.085 per million tokens for Llama-3.2-1B versus $0.263 for Command R (3.1× as much).

There is no independent benchmark that covers both models yet. Llama-3.2-1B has an ECI of 102.0 and Command R has not been scored yet.

There are no published SWE-bench Verified results for Llama-3.2-1B and Command R yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Llama-3.2-1B does not support tool calling, which most coding agents need.

Llama-3.2-1B has the largest context window at 131,072 tokens, against 128,000 for Command R. Maximum output per response: Llama-3.2-1B up to 8,192, Command R up to 4,000 tokens.

Llama-3.2-1B accepts text; Command R accepts text. They handle the same number of input types.

Yes, both publish their weights (Llama 3.2 Community License), so you can self-host them.

Llama-3.2-1B is the newest, released Sep 25, 2024. Command R came out Aug 30, 2024. Knowledge cutoff: Llama-3.2-1B Dec 2023, Command R Jun 1, 2024.

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 Oct 4, 2026.