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 ReMM SLERP 13B
AI21: Jamba Large 1.7 and ReMM SLERP 13B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 6K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.45 | 🏆 ReMM SLERP 13B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.65 | 🏆 ReMM SLERP 13B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 AI21: Jamba Large 1.7 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than ReMM SLERP 13B?
AI21: Jamba Large 1.7 and ReMM SLERP 13B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between AI21: Jamba Large 1.7 and ReMM SLERP 13B?
Input: $2.00 vs $0.45 per 1M tokens. Output: $8.00 vs $0.65 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and ReMM SLERP 13B support?
AI21: Jamba Large 1.7 supports up to 256K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both AI21: Jamba Large 1.7 and ReMM SLERP 13B support tool calling?
AI21: Jamba Large 1.7: yes. ReMM SLERP 13B: not advertised.