llmrun

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 →

1000B · 52B active · 1M context · Other · Sep 2026

VisionFunctions

Model B · Moonshot AI

Kimi K2.7 Code
118.1llmrun Score

1026.9B · 33.3B active · 256K context · Other · Jun 2026

VisionCodeFunctions

Which should you choose?

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).

llmrun Score

with its 90% range · bars share one scale

Overall

Mistral Large 4 1T A52B

118.0115–121

Kimi K2.7 Code

118.1115–121

Coding

Mistral Large 4 1T A52B

112.3108–117

Kimi K2.7 Code

114.8110–120

Agents

Mistral Large 4 1T A52B

116.6109–125

Kimi K2.7 Code

118.7112–125

Math

Mistral Large 4 1T A52B

121.7118–125

Kimi K2.7 Code

120.7116–125

Science

Mistral Large 4 1T A52B

120.4109–132

Kimi K2.7 Code

117.6107–129

Reasoning

Mistral Large 4 1T A52B

120.3114–127

Kimi K2.7 Code

115.3106–125

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 Kimi K2.7 Code (6)

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

How to run each

Specifications

Specifications of Mistral Large 4 1T A52B and Kimi K2.7 Code
SpecMistral Large 4 1T A52BKimi K2.7 Code
PublisherMistral AIMoonshot AI
Parameters1000B1026.9B
Active parameters52B per token33B per token
ArchitectureMistralLarge4ForConditionalGenerationKimiK25ForConditionalGeneration
Context1M tokens256K tokens
ModalitiesVision, Function-callingVision, Code, Function-calling
LicenseOtherOther
ReleasedSep 2026Jun 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.

Mistral Large 4 1T A52B vs Kimi K2.7 Code — VRAM & GPU Comparison | llmrun