AI21 Jamba Reasoning 3B vs Kai 30B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AI21 Jamba Reasoning 3B | Kai 30B Instruct | |
|---|---|---|
| Parameters | 3.2B | 32.8B |
| Context | 262K | 33K |
| Architecture | JambaForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 2.9K | 490 |
| Released | Oct 2025 | Mar 2026 |
VRAM by Quantization: AI21 Jamba Reasoning 3B vs Kai 30B Instruct
| Quantization | Bits | AI21 Jamba Reasoning 3B VRAM | Kai 30B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 6.7 GB | 66.4 GB |
Verdict
AI21 Jamba Reasoning 3B needs less VRAM at BF16 (6.7 GB vs 66.4 GB), so it fits on smaller GPUs. AI21 Jamba Reasoning 3B supports a longer context window (262K tokens). AI21 Jamba Reasoning 3B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AI21 Jamba Reasoning 3B or Kai 30B Instruct?
At BF16, AI21 Jamba Reasoning 3B needs 6.7 GB and Kai 30B Instruct needs 66.4 GB, so AI21 Jamba Reasoning 3B is the lighter option to run locally.
- Which has a longer context window, AI21 Jamba Reasoning 3B or Kai 30B Instruct?
AI21 Jamba Reasoning 3B supports 262,144 tokens and Kai 30B Instruct supports 32,768 tokens.
- What is the difference between AI21 Jamba Reasoning 3B and Kai 30B Instruct?
AI21 Jamba Reasoning 3B is a 3.2B model from AI21 Labs, while Kai 30B Instruct is a 32.8B model from NoesisLab. Compare their VRAM requirements above to see which fits your GPU or Mac.