Mistral Large 4 1T A52B vs Kimi K2.7 Code
Mistral Large 4 1T A52B and Kimi K2.7 Code match in llmrun Score, with values of 118.0 versus 118.1; neither fits 24 GB.
Run Kimi K2.7 Code in the cloud →
Model A · Mistral AI
Mistral Large 4 1T A52B1000B · 52B active · 1M context · Other · Sep 2026
Model B · Moonshot AI
Kimi K2.7 Code1026.9B · 33.3B active · 256K context · Other · Jun 2026
Choose Mistral Large 4 1T A52B if you want…
Ahead on the benchmarks
12 of 15 shared boards
Longer context window
1M vs 256K tokens
Newer release
Sep 2026 vs Jun 2026
Choose Kimi K2.7 Code if you want…
Also does code
Mistral Large 4 1T A52B 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
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
12 GB
RTX 3060 12GB · 12 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
24 GBreference
RTX 4090 · 24 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
32 GB
RTX 5090 · 32 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
48 GB
RTX A6000 · 48 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
Mac 32 GB
Mac Mini M4 · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
Kimi K2.7 Code
Doesn't fit
smallest quant needs 283.8 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Mistral Large 4 1T A52B
Kimi K2.7 Code
Coding
Mistral Large 4 1T A52B
Kimi K2.7 Code
Agents
Mistral Large 4 1T A52B
Kimi K2.7 Code
Math
Mistral Large 4 1T A52B
Kimi K2.7 Code
Science
Mistral Large 4 1T A52B
Kimi K2.7 Code
Reasoning
Mistral Large 4 1T A52B
Kimi K2.7 Code
Mistral Large 4 1T A52B · #18 of 104 open models · #16 of 101 that fit ≤640 GB
Kimi K2.7 Code · #17 of 104 open models · #15 of 101 that fit ≤640 GB
Benchmarks
15 shared boards: Mistral Large 4 1T A52B leads 12, Kimi K2.7 Code leads 2 · Benchmarks imported Oct 2026
Mistral Large 4 1T A52B
88.1%#16/100 open
IndependentEpoch AI · Oct 2026
Kimi K2.7 Code
87.9%#17/100 open
IndependentEpoch AI · Jun 2026
Mistral Large 4 1T A52B
77.2#8/20 open
IndependentLiveBench · Jun 2026
Kimi K2.7 Code
74.0#12/20 open
IndependentLiveBench · Jun 2026
Mistral Large 4 1T A52B
83.9#9/20 open
IndependentLiveBench · Jun 2026
Kimi K2.7 Code
82.8#10/20 open
IndependentLiveBench · Jun 2026
Mistral Large 4 1T A52B
98.3%#4/88 open
IndependentEpoch AI · Oct 2026
Kimi K2.7 Code
95.6%#9/88 open
IndependentEpoch AI · Jun 2026
Mistral Large 4 1T A52B
58.6%#8/19 open
IndependentEpoch AI · Oct 2026
Kimi K2.7 Code
54.0%#12/19 open
IndependentEpoch AI · Jun 2026
Mistral Large 4 1T A52B
93.6#2/20 open
IndependentLiveBench · Jun 2026
Kimi K2.7 Code
79.6#19/20 open
IndependentLiveBench · Jun 2026
Mistral Large 4 1T A52B
54.2%#7/70 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2.7 Code
47.8%#20/70 open
Lab-reportedEpoch AI · Jun 2026
Mistral Large 4 1T A52B
20.0%#17/19 open
IndependentEpoch AI · Oct 2026
Kimi K2.7 Code
36.5%#10/19 open
IndependentEpoch AI · Jun 2026
Mistral Large 4 1T A52B
26.8%#8/15 open
IndependentEpoch AI · Oct 2026
Kimi K2.7 Code
12.2%#13/15 open
IndependentEpoch AI · Jun 2026
Mistral Large 4 1T A52B
39.4%#4/13 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2.7 Code
30.1%#6/13 open
Lab-reportedEpoch AI · Jun 2026
24 more boards (other shared and single-model boards)
Mistral Large 4 1T A52B
1213.2#8/46 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2.7 Code
886.2#19/46 open
Lab-reportedEpoch AI · Jun 2026
Mistral Large 4 1T A52B
51.6%#5/20 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2.7 Code
37.6%#14/20 open
Lab-reportedEpoch AI · Jun 2026
Mistral Large 4 1T A52B
33.0%#6/16 open
IndependentEpoch AI · Oct 2026
Kimi K2.7 Code
14.0%#15/16 open
IndependentEpoch AI · Jun 2026
Mistral Large 4 1T A52B
10.6%#14/82 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2.7 Code
10.0%#15/82 open
Lab-reportedEpoch AI · Jun 2026
Mistral Large 4 1T A52B
28.1%#11/14 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2.7 Code
48.8%#5/14 open
Lab-reportedEpoch AI · Jun 2026
Only Mistral Large 4 1T A52B (13)
Only Kimi K2.7 Code (6)
- LMArena WebDev1473.5
- SimpleBench57.9%
- WeirdML54.1%
- DeepSWE30.5%
- Vending-Bench 25082.9
- GBA Eval0.9%
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
Mistral Large 4 1T A52B
429 GB380.7 GB file
32K 483 GB · 128K 657 GB
Kimi K2.7 Code
440 GB~436.4 GB file
32K 439 GB · 128K 446 GB
Q3_K_M
Mistral Large 4 1T A52B
491 GB~487.5 GB file
32K 546 GB · 128K 720 GB
Kimi K2.7 Code
504 GB463.6 GB file
32K 503 GB · 128K 510 GB
Q4_K_M
Mistral Large 4 1T A52B
604 GB634.8 GB file
32K 658 GB · 128K 832 GB
Kimi K2.7 Code
620 GB~616.1 GB file
32K 619 GB · 128K 626 GB
Q5_K_M
Mistral Large 4 1T A52B
716 GB~712.5 GB file
32K 771 GB · 128K 945 GB
Kimi K2.7 Code
736 GB~731.6 GB file
32K 734 GB · 128K 741 GB
Q6_K
Mistral Large 4 1T A52B
829 GB~825.0 GB file
32K 883 GB · 128K 1057 GB
Kimi K2.7 Code
851 GB~847.2 GB file
32K 850 GB · 128K 857 GB
Q8_0
Mistral Large 4 1T A52B
1004 GB~1000.0 GB file
32K 1058 GB · 128K 1232 GB
Kimi K2.7 Code
1031 GB~1026.9 GB file
32K 1029 GB · 128K 1036 GB
8 more quants
IQ2_XXS
Mistral Large 4 1T A52B
279 GB302.5 GB file
32K 333 GB · 128K 507 GB
Kimi K2.7 Code
286 GB317.8 GB file
32K 285 GB · 128K 292 GB
IQ2_S
Mistral Large 4 1T A52B
not listed
Kimi K2.7 Code
325 GB334.8 GB file
32K 324 GB · 128K 330 GB
IQ2_M
Mistral Large 4 1T A52B
not listed
Kimi K2.7 Code
350 GB318.0 GB file
32K 349 GB · 128K 356 GB
IQ3_XXS
Mistral Large 4 1T A52B
391 GB423.5 GB file
32K 446 GB · 128K 620 GB
Kimi K2.7 Code
402 GB376.9 GB file
32K 401 GB · 128K 407 GB
IQ3_S
Mistral Large 4 1T A52B
not listed
Kimi K2.7 Code
440 GB418.8 GB file
32K 439 GB · 128K 446 GB
Q3_K_L
Mistral Large 4 1T A52B
not listed
Kimi K2.7 Code
530 GB493.9 GB file
32K 529 GB · 128K 536 GB
IQ4_XS
Mistral Large 4 1T A52B
not listed
Kimi K2.7 Code
556 GB495.1 GB file
32K 555 GB · 128K 561 GB
BF16
Mistral Large 4 1T A52B
2004 GB~2000.0 GB file
32K 2058 GB · 128K 2232 GB
Kimi K2.7 Code
2058 GB~2053.8 GB file
32K 2056 GB · 128K 2063 GB
Mistral Large 4 1T A52B
Ollama · Q4_K_M
ollama run hf.co/ggml-org/Mistral-Large-4-1T-A52B-GGUF:Q4_K_MKimi K2.7 Code
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2.7-Code-GGUF| Spec | Mistral Large 4 1T A52B | Kimi K2.7 Code |
|---|---|---|
| Publisher | Mistral AI | Moonshot AI |
| Parameters | 1000B | 1026.9B |
| Active parameters | 52B per token | 33B per token |
| Architecture | MistralLarge4ForConditionalGeneration | KimiK25ForConditionalGeneration |
| Context | 1M tokens | 256K tokens |
| Modalities | Vision, Function-calling | Vision, Code, Function-calling |
| License | Other | Other |
| Released | Sep 2026 | Jun 2026 |
Frequently Asked Questions
Which is better, Mistral Large 4 1T A52B or Kimi K2.7 Code?
Mistral Large 4 1T A52B and Kimi K2.7 Code match in llmrun Score, with values of 118.0 versus 118.1; neither fits 24 GB. Choose Mistral Large 4 1T A52B for ahead on the benchmarks and longer context window; choose Kimi K2.7 Code for also does code.
Which needs less VRAM, Mistral Large 4 1T A52B or Kimi K2.7 Code?
At Q4_K_M, Mistral Large 4 1T A52B requires 603.9 GB while Kimi K2.7 Code needs 620.0 GB, making Mistral Large 4 1T A52B the easier model to run on your local setup.
Can I run Mistral Large 4 1T A52B or Kimi K2.7 Code on a 16 GB GPU?
Mistral Large 4 1T A52B does not fit (smallest quant needs 304.3 GB); Kimi K2.7 Code does not fit (smallest quant needs 283.8 GB).
Which has a longer context window, Mistral Large 4 1T A52B or Kimi K2.7 Code?
Mistral Large 4 1T A52B supports 1,048,576 tokens and Kimi K2.7 Code supports 262,144 tokens.