Compare Cohere Command A from Cohere and Grok 4.5 from Grok on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Cohere Command A
Grok 4.5Command A is Cohere most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Grok 4.5: $6/M output tokens; Cohere Command A: $10/M. Use the cost calculator above to estimate your own workload.
Cohere Command A: 1.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Cohere Command A accepts 256,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 8,000 tokens on Cohere Command A and 500,000 tokens on Grok 4.5.
Grok 4.5 at 40.6 tok/s and Cohere Command A at 3.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Cohere Command A accepts text input; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
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