Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
Model details →AI21: Jamba Large 1.7 vs Cohere: Command A+
Cohere: Command A+ wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Cohere: Command A+ | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 192K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.30 | 🏆 Cohere: Command A+ |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $1.50 | 🏆 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 | 🏆 Cohere: Command A+ |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Cohere: Command A+ |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Cohere: Command A+?
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 AI21: Jamba Large 1.7 and Cohere: Command A+?
Input: $2.00 vs $0.30 per 1M tokens. Output: $8.00 vs $1.50 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Cohere: Command A+ support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Cohere: Command A+ supports up to 192K tokens.
Do both AI21: Jamba Large 1.7 and Cohere: Command A+ support tool calling?
AI21: Jamba Large 1.7: yes. Cohere: Command A+: yes.