Kimi K2.5 vs Kimi K2 Thinking
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Kimi K2.5 | Kimi K2 Thinking | |
|---|---|---|
| Parameters | 1058.6B | 1058.1B |
| Context | 262K | 262K |
| Architecture | KimiK25ForConditionalGeneration | DeepseekV3ForCausalLM |
| License | Other | Other |
| Downloads | 1.7M | 161.5K |
| Released | — | — |
VRAM by Quantization: Kimi K2.5 vs Kimi K2 Thinking
| Quantization | Bits | Kimi K2.5 VRAM | Kimi K2 Thinking VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 453.8 GB | 453.6 GB |
| Q3_K_M | 3.90 | 519.9 GB | 519.7 GB |
| Q3_K_S | 3.50 | 467.0 GB | 466.8 GB |
| Q4_0 | 4.00 | 533.2 GB | 532.9 GB |
| Q4_K_M | 4.80 | 639.0 GB | 638.8 GB |
| Q5_K_M | 5.70 | 758.1 GB | 757.8 GB |
| Q6_K | 6.60 | 877.2 GB | 876.8 GB |
| Q8_0 | 8.00 | 1062.5 GB | 1062 GB |
Verdict
Kimi K2 Thinking needs less VRAM at Q4_K_M (638.8 GB vs 639.0 GB), so it fits on smaller GPUs. Kimi K2.5 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Kimi K2.5 or Kimi K2 Thinking?
At Q4_K_M, Kimi K2.5 needs 639.0 GB and Kimi K2 Thinking needs 638.8 GB, so Kimi K2 Thinking is the lighter option to run locally.
- Which has a longer context window, Kimi K2.5 or Kimi K2 Thinking?
Kimi K2.5 supports 262,144 tokens and Kimi K2 Thinking supports 262,144 tokens.
- What is the difference between Kimi K2.5 and Kimi K2 Thinking?
Kimi K2.5 is a 1058.6B model from Moonshot AI (Kimi K2 family), while Kimi K2 Thinking is a 1058.1B model from Moonshot AI (Kimi K2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.