Model comparison
Grok 4.5 vs Cohere Command A
Compare Grok 4.5 vs Cohere Command A API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
Grok 4.5
xai · grok-4.5
- Input
- $2
- Output
- $6
- Context
- 500K
Cohere Command A
cohere_chat · command-a-03-2025
- Input
- $2.5
- Output
- $10
- Context
- 256K
Quick take
Grok 4.5 has the lower input price at $2 per 1M input tokens. Grok 4.5 is cheaper for the example blended workload below. Grok 4.5 has the larger context window at 500K tokens.
Choose Grok 4.5 if...
- Grok 4.5 is the better default for cost-sensitive traffic and repeated high-volume calls.
- Grok 4.5 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- Grok 4.5 is stronger when the same large prompt or document is reused because it supports prompt caching.
Choose Cohere Command A if...
- Cohere Command A gives more room for long generated answers, reports, or code output.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | Grok 4.5 | Cohere Command A | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $3.20 | $4.50 | Grok 4.5 |
| 10M input + 2M output | $32.00 | $45.00 | Grok 4.5 |
| 100M input + 20M output | $320.00 | $450.00 | Grok 4.5 |
Context, output, and capability fit
Grok 4.5 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- Grok 4.5 max output
- n/a
- Cohere Command A max output
- 8K
- Grok 4.5 features
- prompt caching, function calling, vision
- Cohere Command A features
- function calling
Risk notes for Grok 4.5
- No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.
Risk notes for Cohere Command A
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierreasoningagentslong-contextmultimodalcache-friendlyragenterprise-rag