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 Meituan: LongCat 2.0
Meituan: LongCat 2.0 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Meituan: LongCat 2.0 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 1.0M | 🏆 Meituan: LongCat 2.0 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.30 | 🏆 Meituan: LongCat 2.0 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $1.20 | 🏆 Meituan: LongCat 2.0 |
| 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 | 🏆 Meituan: LongCat 2.0 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Meituan: LongCat 2.0?
Meituan: LongCat 2.0 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 Meituan: LongCat 2.0?
Input: $2.00 vs $0.30 per 1M tokens. Output: $8.00 vs $1.20 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Meituan: LongCat 2.0 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Meituan: LongCat 2.0 supports up to 1.0M tokens.
Do both AI21: Jamba Large 1.7 and Meituan: LongCat 2.0 support tool calling?
AI21: Jamba Large 1.7: yes. Meituan: LongCat 2.0: yes.