Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...
Model details →Cohere: Command A+ vs OpenAI: GPT-4 Turbo (batch)
Cohere: Command A+ wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Model details →Side-by-side comparison
| Capability | Cohere: Command A+ | OpenAI: GPT-4 Turbo (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 192K | 128K | 🏆 Cohere: Command A+ |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.30 | $5.00 | 🏆 Cohere: Command A+ |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.50 | $15.00 | 🏆 Cohere: Command A+ |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 Cohere: Command A+ |
Frequently asked questions
Is Cohere: Command A+ better than OpenAI: GPT-4 Turbo (batch)?
Cohere: Command A+ wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Cohere: Command A+ and OpenAI: GPT-4 Turbo (batch)?
Input: $0.30 vs $5.00 per 1M tokens. Output: $1.50 vs $15.00 per 1M tokens.
What context windows do Cohere: Command A+ and OpenAI: GPT-4 Turbo (batch) support?
Cohere: Command A+ supports up to 192K tokens. OpenAI: GPT-4 Turbo (batch) supports up to 128K tokens.
Do both Cohere: Command A+ and OpenAI: GPT-4 Turbo (batch) support tool calling?
Cohere: Command A+: yes. OpenAI: GPT-4 Turbo (batch): yes.