Kimi K2.7 Code vs MiMo V2.6 Pro RL
MiMo V2.6 Pro RL leads llmrun Score 133.3 to 118.1; neither fits 24 GB.
Run MiMo V2.6 Pro RL in the cloud →
Model A · Moonshot AI
Kimi K2.7 Code1026.9B · 33.3B active · 256K context · Other · Jun 2026
Model B · Xiaomi
MiMo V2.6 Pro RL1020B · 42B active · 1M context · MIT · Sep 2026
Choose Kimi K2.7 Code if you want…
Also does vision, code
MiMo V2.6 Pro RL doesn't list it
Choose MiMo V2.6 Pro RL if you want…
Higher llmrun Score
133.3 vs 118.1
Stronger at science
139.6 vs 117.6
Stronger at agents
131.6 vs 118.7
Ahead on the benchmarks
4 of 4 shared boards
Longer context window
1M vs 256K tokens
Also does chat
Kimi K2.7 Code 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
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
12 GB
RTX 3060 12GB · 12 GB tier
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
24 GBreference
RTX 4090 · 24 GB tier
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
32 GB
RTX 5090 · 32 GB tier
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
48 GB
RTX A6000 · 48 GB tier
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Mac 32 GB
Mac Mini M4 · Macs
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Kimi K2.7 Code
MiMo V2.6 Pro RL
Coding
Kimi K2.7 Code
MiMo V2.6 Pro RL
Agents
Kimi K2.7 Code
MiMo V2.6 Pro RL
Math
Kimi K2.7 Code
MiMo V2.6 Pro RL
no data
Science
Kimi K2.7 Code
MiMo V2.6 Pro RL
Reasoning
Kimi K2.7 Code
MiMo V2.6 Pro RL
no data
Kimi K2.7 Code · #19 of 106 open models · #16 of 102 that fit ≤640 GB
MiMo V2.6 Pro RL · #3 of 106 open models · #2 of 102 that fit ≤640 GB
Benchmarks
4 shared boards: Kimi K2.7 Code leads 0, MiMo V2.6 Pro RL leads 4 · Benchmarks imported Nov 2026
Kimi K2.7 Code
47.8%#21/72 open
Lab-reportedEpoch AI · Jun 2026
MiMo V2.6 Pro RL
60.9%#1/72 open
Lab-reportedEpoch AI · Sep 2026
Kimi K2.7 Code
886.2#20/48 open
Lab-reportedEpoch AI · Jun 2026
MiMo V2.6 Pro RL
1158.1#10/48 open
Lab-reportedEpoch AI · Sep 2026
Kimi K2.7 Code
37.6%#14/20 open
Lab-reportedEpoch AI · Jun 2026
MiMo V2.6 Pro RL
54.4%#3/20 open
Lab-reportedEpoch AI · Sep 2026
Kimi K2.7 Code
10.0%#16/84 open
Lab-reportedEpoch AI · Jun 2026
MiMo V2.6 Pro RL
26.6%#1/84 open
Lab-reportedEpoch AI · Sep 2026
26 more boards (other shared and single-model boards)
Kimi K2.7 Code
1473.5#21/55 open
ArenaLMArena · Oct 2026
MiMo V2.6 Pro RL
1625.4#6/55 open
ArenaLMArena · Oct 2026
Only Kimi K2.7 Code (16)
- GPQA Diamond87.9%
- LiveBench Coding74.0
- LiveBench Reasoning82.8
- AIME 2024/202595.6%
- FrontierMath54.0%
- LiveBench Math79.6
- SimpleQA36.5%
- SimpleBench57.9%
- FrontierMath Tier 412.2%
- WeirdML54.1%
- DeepSWE30.5%
- FrontierCode30.1%
- Chess Puzzles14.0%
- Vending-Bench 25082.9
- Surface Evolver Bench48.8%
- GBA Eval0.9%
Only MiMo V2.6 Pro RL (9)
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
Kimi K2.7 Code
440 GB~436.4 GB file
32K 439 GB · 128K 446 GB
MiMo V2.6 Pro RL
434 GB418.8 GB file
32K 437 GB · 128K 448 GB
Q3_K_M
Kimi K2.7 Code
504 GB463.6 GB file
32K 503 GB · 128K 510 GB
MiMo V2.6 Pro RL
498 GB~497.3 GB file
32K 501 GB · 128K 512 GB
Q4_0
Kimi K2.7 Code
not listed
MiMo V2.6 Pro RL
511 GB~510.0 GB file
32K 514 GB · 128K 524 GB
Q4_K_M
Kimi K2.7 Code
620 GB~616.1 GB file
32K 619 GB · 128K 626 GB
MiMo V2.6 Pro RL
613 GB~612.0 GB file
32K 616 GB · 128K 626 GB
Q5_K_M
Kimi K2.7 Code
736 GB~731.6 GB file
32K 734 GB · 128K 741 GB
MiMo V2.6 Pro RL
727 GB~726.8 GB file
32K 731 GB · 128K 741 GB
Q6_K
Kimi K2.7 Code
851 GB~847.2 GB file
32K 850 GB · 128K 857 GB
MiMo V2.6 Pro RL
842 GB~841.5 GB file
32K 845 GB · 128K 856 GB
Q8_0
Kimi K2.7 Code
1031 GB~1026.9 GB file
32K 1029 GB · 128K 1036 GB
MiMo V2.6 Pro RL
1021 GB~1020.0 GB file
32K 1024 GB · 128K 1034 GB
8 more quants
IQ2_XXS
Kimi K2.7 Code
286 GB317.8 GB file
32K 285 GB · 128K 292 GB
MiMo V2.6 Pro RL
not listed
IQ2_S
Kimi K2.7 Code
325 GB334.8 GB file
32K 324 GB · 128K 330 GB
MiMo V2.6 Pro RL
not listed
IQ2_M
Kimi K2.7 Code
350 GB318.0 GB file
32K 349 GB · 128K 356 GB
MiMo V2.6 Pro RL
not listed
IQ3_XXS
Kimi K2.7 Code
402 GB376.9 GB file
32K 401 GB · 128K 407 GB
MiMo V2.6 Pro RL
not listed
IQ3_S
Kimi K2.7 Code
440 GB418.8 GB file
32K 439 GB · 128K 446 GB
MiMo V2.6 Pro RL
not listed
Q3_K_L
Kimi K2.7 Code
530 GB493.9 GB file
32K 529 GB · 128K 536 GB
MiMo V2.6 Pro RL
not listed
IQ4_XS
Kimi K2.7 Code
556 GB495.1 GB file
32K 555 GB · 128K 561 GB
MiMo V2.6 Pro RL
not listed
BF16
Kimi K2.7 Code
2058 GB~2053.8 GB file
32K 2056 GB · 128K 2063 GB
MiMo V2.6 Pro RL
2041 GB~2040.0 GB file
32K 2044 GB · 128K 2054 GB
Kimi K2.7 Code
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2.7-Code-GGUFMiMo V2.6 Pro RL
Ollama · Q4_K_M
ollama run hf.co/ggml-org/MiMo-V2.6-Pro-RL-GGUF| Spec | Kimi K2.7 Code | MiMo V2.6 Pro RL |
|---|---|---|
| Publisher | Moonshot AI | Xiaomi |
| Parameters | 1026.9B | 1020B |
| Active parameters | 33B per token | 42B per token |
| Architecture | KimiK25ForConditionalGeneration | MiMoV2ForCausalLM |
| Context | 256K tokens | 1M tokens |
| Modalities | Vision, Code, Function-calling | Chat, Function-calling |
| License | Other | MIT |
| Released | Jun 2026 | Sep 2026 |
Frequently Asked Questions
Which is better, Kimi K2.7 Code or MiMo V2.6 Pro RL?
MiMo V2.6 Pro RL leads llmrun Score 133.3 to 118.1; neither fits 24 GB. Choose Kimi K2.7 Code for also does vision, code; choose MiMo V2.6 Pro RL for higher llmrun Score and stronger at science.
Which needs less VRAM, Kimi K2.7 Code or MiMo V2.6 Pro RL?
At Q4_K_M, Kimi K2.7 Code requires 620.0 GB while MiMo V2.6 Pro RL needs 612.5 GB, making MiMo V2.6 Pro RL the easier model to run on your local setup.
Can I run Kimi K2.7 Code or MiMo V2.6 Pro RL on a 16 GB GPU?
Kimi K2.7 Code does not fit (smallest quant needs 283.8 GB); MiMo V2.6 Pro RL does not fit (smallest quant needs 435.6 GB).
Which has a longer context window, Kimi K2.7 Code or MiMo V2.6 Pro RL?
Kimi K2.7 Code supports 262,144 tokens and MiMo V2.6 Pro RL supports 1,048,576 tokens.