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 window, it delivers more acc…
Model details →AI21: Jamba Large 1.7 vs MiniMax: MiniMax M1
MiniMax: MiniMax M1 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | MiniMax: MiniMax M1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 1M | 🏆 MiniMax: MiniMax M1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.40 | 🏆 MiniMax: MiniMax M1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $2.20 | 🏆 MiniMax: MiniMax M1 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 MiniMax: MiniMax M1 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than MiniMax: MiniMax M1?
MiniMax: MiniMax M1 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 MiniMax: MiniMax M1?
Input: $2.00 vs $0.40 per 1M tokens. Output: $8.00 vs $2.20 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and MiniMax: MiniMax M1 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. MiniMax: MiniMax M1 supports up to 1M tokens.
Do both AI21: Jamba Large 1.7 and MiniMax: MiniMax M1 support tool calling?
AI21: Jamba Large 1.7: yes. MiniMax: MiniMax M1: yes.