Mistral Large Instruct 2407 vs Qwen3.8 27B

Qwen3.8 27B leads llmrun Score 122.1 to 81.1; only Qwen3.8 27B fits 24 GB (Q4_K_M); Mistral Large Instruct 2407 needs 42.6 GB even at its smallest quant.

Model A · Mistral AI

Mistral Large Instruct 2407

81.1llmrun Score

122.6B · Other · Jul 2024

ChatFunctions

Model B · Alibaba

Qwen3.8 27B

122.1llmrun Score

27.8B · 256K context · Apache 2.0 · Aug 2026

VisionFunctions

Which should you choose?

Choose Mistral Large Instruct 2407 if you want…

Also does chat
Qwen3.8 27B doesn't list it

Choose Qwen3.8 27B if you want…

Higher llmrun Score
122.1 vs 81.1
Stronger at reasoning
124.0 vs 83.1
Fits a 12 GB GPU
IQ3_XXS · 12 GB; Mistral Large Instruct 2407 needs 42.6 GB at its smallest quant
Fits a Mac 32 GB
Q4_K_M · 17.9 GB; Mistral Large Instruct 2407 needs 42.6 GB at its smallest quant
Lighter on memory
17.4 vs 80.9 GB at Q4_K_M
Also does vision
Mistral Large Instruct 2407 doesn't list it

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

MemoryMistral Large Instruct 2407Qwen3.8 27B

8 GB

RTX 4060 · 8 GB tier

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Qwen3.8 27B

Doesn't fit

smallest quant needs 8.8 GB

12 GB

RTX 3060 12GB · 12 GB tier

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Qwen3.8 27B

IQ3_XXS · ~20 tok/s

12 GB · up to 16Kfits

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Qwen3.8 27B

Q3_K_L · ~19 tok/s

15.4 GB · up to 16Kfits

24 GBreference

RTX 4090 · 24 GB tier

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Qwen3.8 27B

Q4_K_M · ~38 tok/s

17.9 GB · up to 64Kfits

32 GB

RTX 5090 · 32 GB tier

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Qwen3.8 27B

Q4_K_M · ~67 tok/s

17.9 GB · up to 256Kfits

48 GB

RTX A6000 · 48 GB tier

Mistral Large Instruct 2407

IQ2_S · ~12 tok/s

47.7 GB · up to 16K

Qwen3.8 27B

Q4_K_M · ~29 tok/s

17.9 GB · up to 256Kmore headroom

Mac 32 GB

Mac Mini M4 · Macs

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Qwen3.8 27B

Q4_K_M · ~5 tok/s

17.9 GB · up to 128Kfits

Mac 64 GB

Mac Studio M4 Max · Macs

Mistral Large Instruct 2407

Q2_K_S · ~7 tok/s

59.5 GB · up to 16K

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kmore headroom

Mac 128 GB

Mac Studio M4 Max · Macs

Mistral Large Instruct 2407

Q4_K_M · ~5 tok/s

86.4 GB · up to 32K

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kfaster

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

Mistral Large Instruct 2407 Qwen3.8 27B

Overall

Mistral Large Instruct 2407

81.177–86

Qwen3.8 27B

122.1120–124

Coding

Mistral Large Instruct 2407

no data

Qwen3.8 27B

119.7114–125

Agents

Mistral Large Instruct 2407

no data

Qwen3.8 27B

122.8117–129

Math

Mistral Large Instruct 2407

no data

Qwen3.8 27B

117.5111–124

Science

Mistral Large Instruct 2407

no data

Qwen3.8 27B

112.093–131

Reasoning

Mistral Large Instruct 2407

83.175–92

Qwen3.8 27B

124.0121–127

Mistral Large Instruct 2407 · #81 of 100 open models · #42 of 60 that fit ≤96 GB

Qwen3.8 27B · #11 of 100 open models · #1 of 35 that fit 24 GB

Benchmarks

1 shared board: Mistral Large Instruct 2407 leads 0, Qwen3.8 27B leads 1 · Benchmarks imported Oct 2026

BoardMistral Large Instruct 2407Qwen3.8 27B

DTBench

Mistral Large Instruct 2407

61.2%#45/68 open

Lab-reportedEpoch AI · Jul 2024

Qwen3.8 27B

88.0%#9/68 open

Lab-reportedEpoch AI · Aug 2026

27 more boards (other shared and single-model boards)

LMArena Text

Mistral Large Instruct 2407

1314.4#98/187 open

ArenaLMArena · Oct 2026

Qwen3.8 27B

1437.8#22/187 open

ArenaLMArena · Oct 2026

Only Mistral Large Instruct 2407 (7)

Only Qwen3.8 27B (19)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

QuantMistral Large Instruct 2407Qwen3.8 27B

Q2_K

Mistral Large Instruct 2407

57.3 GB45.2 GB file

32K 69.1 GB · 128K 107 GB

Qwen3.8 27B

12.6 GB10.8 GB file

32K 13.9 GB · 128K 19.3 GB

Q3_K_S

Mistral Large Instruct 2407

59.0 GB52.8 GB file

32K 70.8 GB · 128K 109 GB

Qwen3.8 27B

12.9 GB12.7 GB file

32K 14.2 GB · 128K 19.6 GB

Q3_K_M

Mistral Large Instruct 2407

65.8 GB59.1 GB file

32K 77.6 GB · 128K 115 GB

Qwen3.8 27B

14.3 GB13.4 GB file

32K 15.6 GB · 128K 21.0 GB

Q4_0

Mistral Large Instruct 2407

67.4 GB69.1 GB file

32K 79.3 GB · 128K 117 GB

Qwen3.8 27B

14.6 GB~13.9 GB file

32K 16.0 GB · 128K 21.4 GB

Q4_K_M

Mistral Large Instruct 2407

80.9 GB73.2 GB file

32K 92.7 GB · 128K 131 GB

Qwen3.8 27B

17.4 GB16.5 GB file

32K 18.8 GB · 128K 24.1 GB

Q5_K_M

Mistral Large Instruct 2407

96.1 GB86.5 GB file

32K 108 GB · 128K 146 GB

Qwen3.8 27B

20.5 GB19.8 GB file

32K 21.9 GB · 128K 27.3 GB

Q6_K

Mistral Large Instruct 2407

111 GB100.6 GB file

32K 123 GB · 128K 161 GB

Qwen3.8 27B

23.7 GB22.0 GB file

32K 25.0 GB · 128K 30.4 GB

Q8_0

Mistral Large Instruct 2407

135 GB130.3 GB file

32K 147 GB · 128K 184 GB

Qwen3.8 27B

28.5 GB29.0 GB file

32K 29.9 GB · 128K 35.2 GB

19 more quants

IQ2_XXS

Mistral Large Instruct 2407

37.1 GB32.4 GB file

32K 48.9 GB · 128K 86.7 GB

Qwen3.8 27B

8.4 GB7.3 GB file

32K 9.7 GB · 128K 15.1 GB

IQ2_XS

Mistral Large Instruct 2407

40.5 GB36.1 GB file

32K 52.3 GB · 128K 90.1 GB

Qwen3.8 27B

9.1 GB9.1 GB file

32K 10.4 GB · 128K 15.8 GB

IQ2_S

Mistral Large Instruct 2407

42.2 GB38.4 GB file

32K 54.0 GB · 128K 91.8 GB

Qwen3.8 27B

9.4 GB8.4 GB file

32K 10.8 GB · 128K 16.1 GB

IQ2_M

Mistral Large Instruct 2407

45.5 GB41.6 GB file

32K 57.3 GB · 128K 95.1 GB

Qwen3.8 27B

10.1 GB10.5 GB file

32K 11.5 GB · 128K 16.8 GB

IQ3_XXS

Mistral Large Instruct 2407

52.3 GB47.0 GB file

32K 64.1 GB · 128K 102 GB

Qwen3.8 27B

11.5 GB10.9 GB file

32K 12.9 GB · 128K 18.2 GB

Q2_K_S

Mistral Large Instruct 2407

54.0 GB41.6 GB file

32K 65.8 GB · 128K 104 GB

Qwen3.8 27B

not listed

IQ3_XS

Mistral Large Instruct 2407

55.6 GB50.1 GB file

32K 67.4 GB · 128K 105 GB

Qwen3.8 27B

12.2 GB10.4 GB file

32K 13.6 GB · 128K 18.9 GB

IQ3_S

Mistral Large Instruct 2407

not listed

Qwen3.8 27B

12.6 GB12.0 GB file

32K 13.9 GB · 128K 19.3 GB

IQ3_M

Mistral Large Instruct 2407

60.7 GB55.3 GB file

32K 72.5 GB · 128K 110 GB

Qwen3.8 27B

13.3 GB14.9 GB file

32K 14.6 GB · 128K 20.0 GB

Q3_K_L

Mistral Large Instruct 2407

69.1 GB64.6 GB file

32K 80.9 GB · 128K 119 GB

Qwen3.8 27B

15.0 GB14.1 GB file

32K 16.3 GB · 128K 21.7 GB

IQ4_XS

Mistral Large Instruct 2407

72.5 GB65.4 GB file

32K 84.3 GB · 128K 122 GB

Qwen3.8 27B

15.7 GB14.3 GB file

32K 17.0 GB · 128K 22.4 GB

IQ4_NL

Mistral Large Instruct 2407

not listed

Qwen3.8 27B

16.4 GB17.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_1

Mistral Large Instruct 2407

not listed

Qwen3.8 27B

16.4 GB17.5 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_S

Mistral Large Instruct 2407

75.9 GB69.6 GB file

32K 87.7 GB · 128K 125 GB

Qwen3.8 27B

16.4 GB15.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_L

Mistral Large Instruct 2407

not listed

Qwen3.8 27B

17.8 GB18.8 GB file

32K 19.1 GB · 128K 24.5 GB

Q5_0

Mistral Large Instruct 2407

84.3 GB84.4 GB file

32K 96.1 GB · 128K 134 GB

Qwen3.8 27B

not listed

Q5_K_S

Mistral Large Instruct 2407

92.7 GB84.4 GB file

32K 105 GB · 128K 142 GB

Qwen3.8 27B

19.9 GB18.7 GB file

32K 21.2 GB · 128K 26.6 GB

Q5_K_L

Mistral Large Instruct 2407

not listed

Qwen3.8 27B

20.9 GB21.5 GB file

32K 22.2 GB · 128K 27.6 GB

BF16

Mistral Large Instruct 2407

270 GB~245.2 GB file

32K 282 GB · 128K 319 GB

Qwen3.8 27B

56.3 GB54.7 GB file

32K 57.7 GB · 128K 63.0 GB

How to run each

Mistral Large Instruct 2407

Ollama · Q4_K_M

$ollama run hf.co/MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF:Q4_K_M

All ways to run Mistral Large Instruct 2407 →

Qwen3.8 27B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M

All ways to run Qwen3.8 27B →

Specifications

Specifications of Mistral Large Instruct 2407 and Qwen3.8 27B
Spec	Mistral Large Instruct 2407	Qwen3.8 27B
Publisher	Mistral AI	Alibaba
Parameters	122.6B	27.8B
Architecture	—	Qwen3_5ForConditionalGeneration
Context	—	256K tokens
Modalities	Chat, Function-calling	Vision, Function-calling
License	Other	Apache 2.0
Released	Jul 2024	Aug 2026

Frequently Asked Questions

Which is better, Mistral Large Instruct 2407 or Qwen3.8 27B?

Qwen3.8 27B leads llmrun Score 122.1 to 81.1; only Qwen3.8 27B fits 24 GB (Q4_K_M); Mistral Large Instruct 2407 needs 42.6 GB even at its smallest quant. Choose Mistral Large Instruct 2407 for also does chat; choose Qwen3.8 27B for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, Mistral Large Instruct 2407 or Qwen3.8 27B?

At Q4_K_M, Mistral Large Instruct 2407 requires 80.9 GB while Qwen3.8 27B needs 17.4 GB, making Qwen3.8 27B the easier model to run on your local setup.

Can I run Mistral Large Instruct 2407 or Qwen3.8 27B on a 16 GB GPU?

Mistral Large Instruct 2407 does not fit (smallest quant needs 42.6 GB); Qwen3.8 27B fits at Q3_K_L.