Command R7B vs GPT-5 Nano

Side by side pricing and context for Command R7B and GPT-5 Nano. Rates are curated catalog values with last verified dates on each model page.

Command R7B

Compact Cohere Command model for high-QPS RAG and agents. Prefer when Command R is more than you need on cost and latency.

Input $0.037 / Output $0.150 per 1M

Context 128K · Approx

GPT-5 Nano

Cheapest GPT-5 family tier for classification, routing, and ultra-high QPS text jobs. Use when Mini is still too expensive and Exact OpenAI counts matter for budgeting.

Input $0.050 / Output $0.400 per 1M

Context 128K · Exact (o200k_base)


Quick take

  • Command R7B is cheaper on input in this catalog snapshot.
  • Command R7B is cheaper on output in this catalog snapshot.
  • Both last verified on their model pages (2026-08-02 / 2026-08-02).

Rate table

MetricCommand R7BGPT-5 Nano
Input / 1M$0.037$0.050
Output / 1M$0.150$0.400
Cached input / 1Mn/a$0.0050
Context128K128K
TokenizerApproxExact (o200k_base)