Command 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.
Command A 03 2025 vs GPT 5.6 Luna
Compare Command A 03 2025 from Cohere and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Command A 03 2025, GPT 5.6 Luna?
GPT 5.6 Luna: $6/M output tokens; Command A 03 2025: $10/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
Command A 03 2025 accepts 256,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 8,000 tokens on Command A 03 2025 and 128,000 tokens on GPT 5.6 Luna.
What inputs and capabilities does each model support?
Command A 03 2025 accepts text input; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call Command A 03 2025 and GPT 5.6 Luna with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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