Model comparison
GPT-5.5 vs Cohere Command A
Compare GPT-5.5 vs Cohere Command A API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-5.5
openai · gpt-5.5
- Input
- $5
- Output
- $30
- Context
- 1.1M
Cohere Command A
cohere_chat · command-a-03-2025
- Input
- $2.5
- Output
- $10
- Context
- 256K
Quick take
Cohere Command A has the lower input price at $2.5 per 1M input tokens. Cohere Command A is cheaper for the example blended workload below. GPT-5.5 has the larger context window at 1.1M tokens.
Choose GPT-5.5 if...
- GPT-5.5 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- GPT-5.5 gives more room for long generated answers, reports, or code output.
- GPT-5.5 is stronger when the same large prompt or document is reused because it supports prompt caching.
Choose Cohere Command A if...
- Cohere Command A is the better default for cost-sensitive traffic and repeated high-volume calls.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | GPT-5.5 | Cohere Command A | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $11.00 | $4.50 | Cohere Command A |
| 10M input + 2M output | $110.00 | $45.00 | Cohere Command A |
| 100M input + 20M output | $1,100.00 | $450.00 | Cohere Command A |
Context, output, and capability fit
GPT-5.5 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-5.5 max output
- 128K
- Cohere Command A max output
- 8K
- GPT-5.5 features
- prompt caching, function calling, vision
- Cohere Command A features
- function calling
Risk notes for GPT-5.5
- High output price: cap max tokens for verbose generation workloads.
Risk notes for Cohere Command A
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierreasoningcodingagentslong-contextmultimodalcache-friendlyragenterprise-rag