Enterprise agentic RAG: Cohere Command A+ ($2.50/$10) vs OpenAI GPT-5.6 Sol ($5/$30).
command-a-plus · cohere
gpt-5.6-sol · openai
Benchmark
| Workload Scenario | Cohere Command A+ | GPT-5.6 Sol | Price Delta |
|---|---|---|---|
| 1M input tokens (raw text) | $2.50 | $5.00 | −$2.50 |
| 1M output tokens (generation) | $10.00 | $30.00 | −$20.00 |
| 1M tokens · 70% input / 30% output mix | $4.75 | $12.50 | −$7.75 |
| Standard chat turn (4K in / 800 out, 50% cached) | $0.0135 | $0.035 | −$0.0215 |
| Monthly scale (10K requests / day) | $4,050.00 | $10,500.00 | −$6,450.00 |
Negative difference = Cohere Command A+ is cheaper. Positive = GPT-5.6 Sol is cheaper.
Scaling Curve
Total cost of a token volume at 70/30 input/output split (uncached). Log-log scale.
Verdict
Cohere Command A+ is cheaper on both input and output rates, so it costs less at every input/output mix. Price alone still isn't the whole decision: capability, latency and context limits (Cohere Command A+: 128K, GPT-5.6 Sol: 1.1M) may justify the premium for your task.
FAQ
On input, Cohere Command A+ is cheaper ($2.50/M vs $5.00/M). On output, Cohere Command A+ is cheaper ($10.00/M vs $30.00/M). The same model is cheaper on both sides, so it wins at every mix.
A chat-style request (4,000 input + 800 output tokens, 50% cached) costs $0.0135 on Cohere Command A+ and $0.035 on GPT-5.6 Sol — Cohere Command A+ is 2.6× cheaper for that workload.
Cohere Command A+ supports 128,000 tokens (8.2K max output); GPT-5.6 Sol supports 1,050,000 (128K max output). GPT-5.6 Sol fits 8.2× more context, which matters for long documents and agents.