GPT-4o mini vs Command R

GPT-4o mini is the better all-round choice, scoring 64/100 against Command R (51). It leads 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.

GPT-4o mini and Command R cost the same: $0.15 input / $0.60 output per million tokens.

There is no independent benchmark that covers both models yet. GPT-4o mini has an ECI of 126.6 and Command R has not been scored yet.

There are no published SWE-bench Verified results for GPT-4o mini and Command R 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.

GPT-4o mini and Command R share the same 128,000-token context window. Maximum output per response: GPT-4o mini up to 16,384, Command R up to 4,000 tokens.

GPT-4o mini accepts text, images and PDFs; Command R accepts text. GPT-4o mini handles the widest range of inputs.

Command R publishes its weights and can be self-hosted; GPT-4o mini is proprietary.

Command R is the newest, released Aug 30, 2024. GPT-4o mini came out Jul 18, 2024. Knowledge cutoff: GPT-4o mini Sep 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.