Mistral Large Instruct 2411 vs Qwen3.8 27B

Qwen3.8 27B leads llmrun Score 122.0 to 82.5; only Qwen3.8 27B fits 24 GB (Q4_K_M); Mistral Large Instruct 2411 needs 58.3 GB even at its smallest quant.

Run Mistral Large Instruct 2411 in the cloud →

Model A · Mistral AI

Mistral Large Instruct 2411

82.5llmrun Score

122.6B · 128K context · Other · Nov 2024

Chat

Model B · Alibaba

Qwen3.8 27B

122.0llmrun Score

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

VisionFunctions

Which should you choose?

Choose Mistral Large Instruct 2411 if you want…

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

Choose Qwen3.8 27B if you want…

Higher llmrun Score
122.0 vs 82.5
Stronger at reasoning
124.0 vs 86.9
Fits a 12 GB GPU
IQ3_XXS · 12 GB; Mistral Large Instruct 2411 needs 58.3 GB at its smallest quant
Fits a Mac 32 GB
Q4_K_M · 17.9 GB; Mistral Large Instruct 2411 needs 58.3 GB at its smallest quant
Lighter on memory
17.4 vs 74.6 GB at Q4_K_M
Longer context window
256K vs 128K tokens

On your hardware

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

MemoryMistral Large Instruct 2411Qwen3.8 27B

8 GB

RTX 4060 · 8 GB tier

Mistral Large Instruct 2411

Doesn't fit

smallest quant needs 58.3 GB

Qwen3.8 27B

Doesn't fit

smallest quant needs 8.8 GB

12 GB

RTX 3060 12GB · 12 GB tier

Mistral Large Instruct 2411

Doesn't fit

smallest quant needs 58.3 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 2411

Doesn't fit

smallest quant needs 58.3 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 2411

Doesn't fit

smallest quant needs 58.3 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 2411

Doesn't fit

smallest quant needs 58.3 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 2411

Doesn't fit

smallest quant needs 58.3 GB

Qwen3.8 27B

Q4_K_M · ~29 tok/s

17.9 GB · up to 256Kfits

Mac 32 GB

Mac Mini M4 · Macs

Mistral Large Instruct 2411

Doesn't fit

smallest quant needs 58.3 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 2411

Q3_K_S · ~7 tok/s

59.9 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 2411

Q4_K_M · ~5 tok/s

79.8 GB · up to 128K

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 2411 Qwen3.8 27B

Overall

Mistral Large Instruct 2411

82.578–87

Qwen3.8 27B

122.0120–124

Coding

Mistral Large Instruct 2411

no data

Qwen3.8 27B

119.0113–125

Agents

Mistral Large Instruct 2411

no data

Qwen3.8 27B

122.7116–129

Math

Mistral Large Instruct 2411

no data

Qwen3.8 27B

117.5110–125

Science

Mistral Large Instruct 2411

no data

Qwen3.8 27B

111.993–131

Reasoning

Mistral Large Instruct 2411

86.977–96

Qwen3.8 27B

124.0121–127

Mistral Large Instruct 2411 · #83 of 106 open models · #40 of 62 that fit ≤96 GB

Qwen3.8 27B · #14 of 106 open models · #1 of 36 that fit 24 GB

Benchmarks

1 shared board: Mistral Large Instruct 2411 leads 0, Qwen3.8 27B leads 1 · Benchmarks imported Nov 2026

BoardMistral Large Instruct 2411Qwen3.8 27B

DTBench

Mistral Large Instruct 2411

60.8%#48/70 open

Lab-reportedEpoch AI · Nov 2024

Qwen3.8 27B

88.0%#10/70 open

Lab-reportedEpoch AI · Aug 2026

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

LMArena Text

Mistral Large Instruct 2411

1305.6#104/188 open

ArenaLMArena · Oct 2026

Qwen3.8 27B

1435.6#24/188 open

ArenaLMArena · Oct 2026

Only Mistral Large Instruct 2411 (5)

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 2411Qwen3.8 27B

Q2_K

Mistral Large Instruct 2411

53.2 GB45.2 GB file

32K 64.2 GB · 128K 99.7 GB

Qwen3.8 27B

12.6 GB10.8 GB file

32K 13.9 GB · 128K 19.3 GB

Q3_K_S

Mistral Large Instruct 2411

54.7 GB52.8 GB file

32K 65.8 GB · 128K 101 GB

Qwen3.8 27B

12.9 GB12.7 GB file

32K 14.2 GB · 128K 19.6 GB

Q3_K_M

Mistral Large Instruct 2411

60.8 GB59.1 GB file

32K 71.9 GB · 128K 107 GB

Qwen3.8 27B

14.3 GB13.4 GB file

32K 15.6 GB · 128K 21.0 GB

Q4_0

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

14.6 GB~13.9 GB file

32K 16.0 GB · 128K 21.4 GB

Q4_K_M

Mistral Large Instruct 2411

74.6 GB73.2 GB file

32K 85.7 GB · 128K 121 GB

Qwen3.8 27B

17.4 GB16.5 GB file

32K 18.8 GB · 128K 24.1 GB

Q5_K_M

Mistral Large Instruct 2411

88.4 GB86.5 GB file

32K 99.5 GB · 128K 135 GB

Qwen3.8 27B

20.5 GB19.8 GB file

32K 21.9 GB · 128K 27.3 GB

Q6_K

Mistral Large Instruct 2411

102 GB~101.2 GB file

32K 113 GB · 128K 149 GB

Qwen3.8 27B

23.7 GB22.0 GB file

32K 25.0 GB · 128K 30.4 GB

Q8_0

Mistral Large Instruct 2411

124 GB~122.6 GB file

32K 135 GB · 128K 170 GB

Qwen3.8 27B

28.5 GB29.0 GB file

32K 29.9 GB · 128K 35.2 GB

17 more quants

IQ2_XXS

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

8.4 GB7.3 GB file

32K 9.7 GB · 128K 15.1 GB

IQ2_XS

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

9.1 GB9.1 GB file

32K 10.4 GB · 128K 15.8 GB

IQ2_S

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

9.4 GB8.4 GB file

32K 10.8 GB · 128K 16.1 GB

IQ2_M

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

10.1 GB10.5 GB file

32K 11.5 GB · 128K 16.8 GB

IQ3_XXS

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

11.5 GB10.9 GB file

32K 12.9 GB · 128K 18.2 GB

IQ3_XS

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

12.2 GB10.4 GB file

32K 13.6 GB · 128K 18.9 GB

IQ3_S

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

12.6 GB12.0 GB file

32K 13.9 GB · 128K 19.3 GB

IQ3_M

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

13.3 GB14.9 GB file

32K 14.6 GB · 128K 20.0 GB

Q3_K_L

Mistral Large Instruct 2411

63.9 GB64.6 GB file

32K 75.0 GB · 128K 110 GB

Qwen3.8 27B

15.0 GB14.1 GB file

32K 16.3 GB · 128K 21.7 GB

IQ4_XS

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

15.7 GB14.3 GB file

32K 17.0 GB · 128K 22.4 GB

IQ4_NL

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

16.4 GB17.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_1

Mistral Large Instruct 2411

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 2411

70.0 GB69.6 GB file

32K 81.1 GB · 128K 117 GB

Qwen3.8 27B

16.4 GB15.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_L

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

17.8 GB18.8 GB file

32K 19.1 GB · 128K 24.5 GB

Q5_K_S

Mistral Large Instruct 2411

85.3 GB84.4 GB file

32K 96.4 GB · 128K 132 GB

Qwen3.8 27B

19.9 GB18.7 GB file

32K 21.2 GB · 128K 26.6 GB

Q5_K_L

Mistral Large Instruct 2411

not listed

Qwen3.8 27B

20.9 GB21.5 GB file

32K 22.2 GB · 128K 27.6 GB

BF16

Mistral Large Instruct 2411

246 GB~245.2 GB file

32K 257 GB · 128K 293 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 2411

Ollama · Q4_K_M

$ollama run hf.co/MaziyarPanahi/Mistral-Large-Instruct-2411-GGUF:Q4_K_M

All ways to run Mistral Large Instruct 2411 →

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 2411 and Qwen3.8 27B
Spec	Mistral Large Instruct 2411	Qwen3.8 27B
Publisher	Mistral AI	Alibaba
Parameters	122.6B	27.8B
Architecture	MistralForCausalLM	Qwen3_5ForConditionalGeneration
Context	128K tokens	256K tokens
Modalities	Chat	Vision, Function-calling
License	Other	Apache 2.0
Released	Nov 2024	Aug 2026

Frequently Asked Questions

Which is better, Mistral Large Instruct 2411 or Qwen3.8 27B?

Qwen3.8 27B leads llmrun Score 122.0 to 82.5; only Qwen3.8 27B fits 24 GB (Q4_K_M); Mistral Large Instruct 2411 needs 58.3 GB even at its smallest quant. Choose Mistral Large Instruct 2411 for also does chat; choose Qwen3.8 27B for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, Mistral Large Instruct 2411 or Qwen3.8 27B?

At Q4_K_M, Mistral Large Instruct 2411 requires 74.6 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 2411 or Qwen3.8 27B on a 16 GB GPU?

Mistral Large Instruct 2411 does not fit (smallest quant needs 58.3 GB); Qwen3.8 27B fits at Q3_K_L.

Which has a longer context window, Mistral Large Instruct 2411 or Qwen3.8 27B?

Mistral Large Instruct 2411 supports 131,072 tokens and Qwen3.8 27B supports 262,144 tokens.