GPT-5.1 Chat vs Command A Translate

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Command A Translate (17). It leads on price, inputs & features and context window. 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-5.1 Chat is cheaper at $1.25 input / $10.00 output per million tokens (median across 2 API providers). Command A Translate costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5.1 Chat versus $4.38 for Command A Translate (1.3× as much).

There is no independent benchmark that covers both models yet. GPT-5.1 Chat has not been scored yet and Command A Translate has not been scored yet.

There are no published SWE-bench Verified results for GPT-5.1 Chat and Command A Translate 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-5.1 Chat has the largest context window at 128,000 tokens, against 8,000 for Command A Translate. Maximum output per response: GPT-5.1 Chat up to 16,384, Command A Translate up to 8,000 tokens.

GPT-5.1 Chat accepts text and images; Command A Translate accepts text. GPT-5.1 Chat handles the widest range of inputs.

Command A Translate publishes its weights and can be self-hosted; GPT-5.1 Chat is proprietary.

GPT-5.1 Chat is the newest, released Nov 13, 2025. Command A Translate came out Aug 28, 2025. Knowledge cutoff: GPT-5.1 Chat Sep 30, 2024, Command A Translate 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.