Cohere flagship with enterprise RAG tooling and automatic generation-time caching
command-a| Scenario | Input Tokens | Output Tokens | Uncached Cost | With Prompt Caching |
|---|---|---|---|---|
| Short Chat Query | 1,000 | 500 | $0.00600 | $0.00420 |
| Document Summarization | 10,000 | 2,000 | $0.0360 | $0.0180 |
| Codebase & Context Analysis | 100,000 | 20,000 | $0.3600 | $0.1800 |
| Batch Corpus Processing | 1,000,000 | 100,000 | $2.80 | $1.00 |
Tier 1 (free tier) reference limits — your account's actual quota may be higher.
Ideal for production workloads demanding balanced capabilities, deep context depth (256k tokens), and reliability from Cohere. Excellent when predictable tokenomics and prompt caching support are paramount.
If your use-case requires sub-second streaming latency or ultra-high frequency classification at micro-cent pricing, consider lighter budget options such as Gemini Flash-Lite or Claude Haiku. For deep formal logic, consider dedicated reasoning models like o3.
For Command A, 1 million input tokens costs $2.00, while 1 million output tokens costs $8.00. If using prompt caching, repetitive input prefixes are discounted to $0.20 per million.
Command A features a maximum context window of 256,000 tokens (~192,000 words), with a maximum output limit of 65,536 tokens per completion.
Command A utilizes the Cohere Byte-Pair Encoding (256k vocabulary). Token counting on TokenMath runs client-side to ensure maximum privacy.
Yes. Command A supports prompt caching with a cached input rate of $0.20/1M (saving up to 90% on repeated input context).