DeepSeek V3.2 vs Kimi K2 Thinking
DeepSeek V3.2 and Kimi K2 Thinking match in llmrun Score, with values of 110.4 versus 108.8; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V3.2685.4B · 41B active · 160K context · MIT · Dec 2025
Model B · Moonshot AI
Kimi K2 Thinking1026.4B · 32.9B active · 256K context · Other · Nov 2025
Choose DeepSeek V3.2 if you want…
Lighter on memory
415.1 vs 619.7 GB at Q4_K_M
More permissive license
MIT vs Other
Choose Kimi K2 Thinking if you want…
Longer context window
256K vs 160K tokens
Also does function-calling
DeepSeek V3.2 doesn't list it
On your hardware
Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.
8 GB
RTX 4060 · 8 GB tier
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V3.2
Doesn't fit
smallest quant needs 189.9 GB
Kimi K2 Thinking
Doesn't fit
smallest quant needs 283.7 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
DeepSeek V3.2
Kimi K2 Thinking
Coding
DeepSeek V3.2
no data
Kimi K2 Thinking
Agents
DeepSeek V3.2
Kimi K2 Thinking
Reasoning
DeepSeek V3.2
Kimi K2 Thinking
no data
DeepSeek V3.2 · #24 of 92 open models · #21 of 88 that fit ≤512 GB
Kimi K2 Thinking · #28 of 92 open models · #25 of 88 that fit ≤640 GB
Benchmarks
5 shared boards: DeepSeek V3.2 leads 3, Kimi K2 Thinking leads 1 · Benchmarks imported Oct 2026
DeepSeek V3.2
70.0%#5/20 open
IndependentSWE-bench · Feb 2026
Kimi K2 Thinking
63.4%#10/20 open
IndependentSWE-bench · Dec 2025
DeepSeek V3.2
1424.8#29/186 open
ArenaLMArena · Oct 2026
Kimi K2 Thinking
1430.1#25/186 open
ArenaLMArena · Oct 2026
DeepSeek V3.2
39.6%#5/16 open
Lab-reportedEpoch AI · Dec 2025
Kimi K2 Thinking
35.7%#7/16 open
Lab-reportedEpoch AI · Nov 2025
DeepSeek V3.2
1362.2#31/50 open
ArenaLMArena · Oct 2026
Kimi K2 Thinking
1322.1#40/50 open
ArenaLMArena · Oct 2026
DeepSeek V3.2
60.0%#3/9 open
IndependentSWE-bench · Dec 2025
Kimi K2 Thinking
63.4%#1/9 open
IndependentSWE-bench · Dec 2025
16 more boards (other shared and single-model boards)
DeepSeek V3.2
12.4%#6/7 open
Lab-reportedEpoch AI · Dec 2025
Kimi K2 Thinking
17.6%#3/7 open
Lab-reportedEpoch AI · Nov 2025
Only DeepSeek V3.2 (10)
- ARC-AGI-24.0%
- MMLU-Pro85.0%
- SWE-bench Multilingual59.0%
- ARC-AGI57.0%
- SWE-bench Lite30.7%
- DTBench85.6%
- LMCA28.8%
- APEX-Agents21.3%
- CL-bench Life7.4%
- ProofBench8.0%
Only Kimi K2 Thinking (5)
- GPQA Diamond84.2%
- AIME 2024/202583.1%
- WeirdML42.8%
- Chess Puzzles20.0%
- ALE-Bench597.5
VRAM by quantization
Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.
Q2_K
DeepSeek V3.2
295 GB245.4 GB file
32K 294 GB · 128K 301 GB
Kimi K2 Thinking
440 GB374.1 GB file
32K 439 GB · 128K 446 GB
Q3_K_S
DeepSeek V3.2
304 GB290.4 GB file
32K 302 GB · 128K 309 GB
Kimi K2 Thinking
453 GB443.2 GB file
32K 452 GB · 128K 459 GB
Q3_K_M
DeepSeek V3.2
338 GB320.2 GB file
32K 337 GB · 128K 344 GB
Kimi K2 Thinking
504 GB490.0 GB file
32K 503 GB · 128K 510 GB
Q4_0
DeepSeek V3.2
347 GB380.1 GB file
32K 345 GB · 128K 352 GB
Kimi K2 Thinking
517 GB581.2 GB file
32K 516 GB · 128K 523 GB
Q4_K_M
DeepSeek V3.2
415 GB405.4 GB file
32K 414 GB · 128K 421 GB
Kimi K2 Thinking
620 GB621.2 GB file
32K 618 GB · 128K 625 GB
Q5_K_M
DeepSeek V3.2
492 GB476.2 GB file
32K 491 GB · 128K 498 GB
Kimi K2 Thinking
735 GB728.7 GB file
32K 734 GB · 128K 741 GB
Q6_K
DeepSeek V3.2
569 GB551.3 GB file
32K 568 GB · 128K 575 GB
Kimi K2 Thinking
851 GB842.9 GB file
32K 849 GB · 128K 856 GB
Q8_0
DeepSeek V3.2
689 GB713.3 GB file
32K 688 GB · 128K 695 GB
Kimi K2 Thinking
1030 GB1091.1 GB file
32K 1029 GB · 128K 1036 GB
14 more quants
IQ2_XXS
DeepSeek V3.2
192 GB217.1 GB file
32K 191 GB · 128K 198 GB
Kimi K2 Thinking
286 GB335.2 GB file
32K 285 GB · 128K 292 GB
IQ2_XS
DeepSeek V3.2
not listed
Kimi K2 Thinking
312 GB283.4 GB file
32K 311 GB · 128K 317 GB
IQ2_S
DeepSeek V3.2
not listed
Kimi K2 Thinking
325 GB284.1 GB file
32K 323 GB · 128K 330 GB
IQ2_M
DeepSeek V3.2
235 GB228.1 GB file
32K 234 GB · 128K 241 GB
Kimi K2 Thinking
350 GB353.6 GB file
32K 349 GB · 128K 356 GB
IQ3_XXS
DeepSeek V3.2
269 GB273.1 GB file
32K 268 GB · 128K 275 GB
Kimi K2 Thinking
402 GB421.7 GB file
32K 400 GB · 128K 407 GB
IQ3_XS
DeepSeek V3.2
not listed
Kimi K2 Thinking
427 GB420.7 GB file
32K 426 GB · 128K 433 GB
IQ3_M
DeepSeek V3.2
not listed
Kimi K2 Thinking
466 GB467.5 GB file
32K 464 GB · 128K 471 GB
Q3_K_L
DeepSeek V3.2
not listed
Kimi K2 Thinking
530 GB487.7 GB file
32K 529 GB · 128K 536 GB
IQ4_XS
DeepSeek V3.2
372 GB358.3 GB file
32K 371 GB · 128K 378 GB
Kimi K2 Thinking
556 GB547.2 GB file
32K 554 GB · 128K 561 GB
IQ4_NL
DeepSeek V3.2
389 GB379.1 GB file
32K 388 GB · 128K 395 GB
Kimi K2 Thinking
581 GB579.1 GB file
32K 580 GB · 128K 587 GB
Q4_1
DeepSeek V3.2
389 GB420.8 GB file
32K 388 GB · 128K 395 GB
Kimi K2 Thinking
581 GB642.9 GB file
32K 580 GB · 128K 587 GB
Q4_K_S
DeepSeek V3.2
389 GB381.1 GB file
32K 388 GB · 128K 395 GB
Kimi K2 Thinking
581 GB583.3 GB file
32K 580 GB · 128K 587 GB
Q5_K_S
DeepSeek V3.2
475 GB462.6 GB file
32K 474 GB · 128K 481 GB
Kimi K2 Thinking
710 GB707.0 GB file
32K 708 GB · 128K 715 GB
BF16
DeepSeek V3.2
1375 GB1342.3 GB file
32K 1373 GB · 128K 1380 GB
Kimi K2 Thinking
2057 GB2053.2 GB file
32K 2055 GB · 128K 2062 GB
DeepSeek V3.2
Ollama · Q4_K_M
ollama run hf.co/unsloth/DeepSeek-V3.2-GGUF:Q4_K_MKimi K2 Thinking
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2-Thinking-GGUF:Q4_K_M| Spec | DeepSeek V3.2 | Kimi K2 Thinking |
|---|---|---|
| Publisher | DeepSeek | Moonshot AI |
| Parameters | 685.4B | 1026.4B |
| Active parameters | 41B per token | 33B per token |
| Architecture | DeepseekV32ForCausalLM | DeepseekV3ForCausalLM |
| Context | 160K tokens | 256K tokens |
| Modalities | Chat | Chat, Function-calling |
| License | MIT | Other |
| Released | Dec 2025 | Nov 2025 |
Frequently Asked Questions
Which is better, DeepSeek V3.2 or Kimi K2 Thinking?
DeepSeek V3.2 and Kimi K2 Thinking match in llmrun Score, with values of 110.4 versus 108.8; neither fits 24 GB. Choose DeepSeek V3.2 for lighter on memory and more permissive license; choose Kimi K2 Thinking for longer context window and also does function-calling.
Which needs less VRAM, DeepSeek V3.2 or Kimi K2 Thinking?
At Q4_K_M, DeepSeek V3.2 requires 415.1 GB while Kimi K2 Thinking needs 619.7 GB, making DeepSeek V3.2 the easier model to run on your local setup.
Can I run DeepSeek V3.2 or Kimi K2 Thinking on a 16 GB GPU?
DeepSeek V3.2 does not fit (smallest quant needs 189.9 GB); Kimi K2 Thinking does not fit (smallest quant needs 283.7 GB).
Which has a longer context window, DeepSeek V3.2 or Kimi K2 Thinking?
DeepSeek V3.2 supports 163,840 tokens and Kimi K2 Thinking supports 262,144 tokens.