Fast enterprise RAG workhorse; predecessor to Cohere's Command A series Need a token count first? Use the Cohere token counter.
command-r-08-2024| Scenario | Input Tokens | Output Tokens | Uncached Cost | With Prompt Caching |
|---|---|---|---|---|
| Short Chat Query | 1,000 | 500 | $0.00045 | $0.00031 |
| Document Summarization | 10,000 | 2,000 | $0.00270 | $0.00135 |
| Codebase & Context Analysis | 100,000 | 20,000 | $0.0270 | $0.0135 |
| Batch Corpus Processing | 1,000,000 | 100,000 | $0.2100 | $0.0750 |
Tier 1 (free tier) reference limits — your account's actual quota may be higher.
Ideal for production workloads demanding budget capabilities, deep context depth (128k 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 R (08-2024), 1 million input tokens costs $0.15, while 1 million output tokens costs $0.60. If using prompt caching, repetitive input prefixes are discounted to $0.015 per million.
Command R (08-2024) features a maximum context window of 128,000 tokens (~96,000 words), with a maximum output limit of 4,096 tokens per completion.
Command R (08-2024) utilizes the Cohere BPE (~256k vocabulary). Token counting on TokenMath runs client-side to ensure maximum privacy.
Yes. Command R (08-2024) supports prompt caching with a cached input rate of $0.015/1M (saving up to 90% on repeated input context).