GigaChat 20B A3B Base vs AI21 Jamba Reasoning 3B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| GigaChat 20B A3B Base | AI21 Jamba Reasoning 3B | |
|---|---|---|
| Parameters | 20B | 3.2B |
| Context | 131K | 262K |
| Architecture | DeepseekForCausalLM | JambaForCausalLM |
| License | MIT | Apache 2.0 |
| Downloads | 4.4K | 2.9K |
| Released | Jun 2025 | Oct 2025 |
VRAM by Quantization: GigaChat 20B A3B Base vs AI21 Jamba Reasoning 3B
| Quantization | Bits | GigaChat 20B A3B Base VRAM | AI21 Jamba Reasoning 3B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 40.5 GB | 6.7 GB |
Verdict
AI21 Jamba Reasoning 3B needs less VRAM at BF16 (6.7 GB vs 40.5 GB), so it fits on smaller GPUs. AI21 Jamba Reasoning 3B supports a longer context window (262K tokens). GigaChat 20B A3B Base is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, GigaChat 20B A3B Base or AI21 Jamba Reasoning 3B?
At BF16, GigaChat 20B A3B Base needs 40.5 GB and AI21 Jamba Reasoning 3B needs 6.7 GB, so AI21 Jamba Reasoning 3B is the lighter option to run locally.
- Which has a longer context window, GigaChat 20B A3B Base or AI21 Jamba Reasoning 3B?
GigaChat 20B A3B Base supports 131,072 tokens and AI21 Jamba Reasoning 3B supports 262,144 tokens.
- What is the difference between GigaChat 20B A3B Base and AI21 Jamba Reasoning 3B?
GigaChat 20B A3B Base is a 20B model from ai-sage, while AI21 Jamba Reasoning 3B is a 3.2B model from AI21 Labs. Compare their VRAM requirements above to see which fits your GPU or Mac.