Llama 4 Scout 17B 16E Instruct vs Mistral Large Instruct 2411
Llama 4 Scout 17B 16E Instruct and Mistral Large Instruct 2411 match in llmrun Score, with values of 82.1 versus 82.5; neither fits 24 GB.
Run Mistral Large Instruct 2411 in the cloud →
Model A · Meta
Llama 4 Scout 17B 16E Instruct108.6B · 17B active · Other · Apr 2025
Model B · Mistral AI
Mistral Large Instruct 2411122.6B · 128K context · Other · Nov 2024
Choose Llama 4 Scout 17B 16E Instruct if you want…
Also does vision
Mistral Large Instruct 2411 doesn't list it
Newer release
Apr 2025 vs Nov 2024
Choose Mistral Large Instruct 2411 if you want…
Stronger at reasoning
86.9 vs 80.7
Also does chat
Llama 4 Scout 17B 16E Instruct 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
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
12 GB
RTX 3060 12GB · 12 GB tier
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
24 GBreference
RTX 4090 · 24 GB tier
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
32 GB
RTX 5090 · 32 GB tier
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
48 GB
RTX A6000 · 48 GB tier
Llama 4 Scout 17B 16E Instruct
IQ2_M · ~65 tok/s
45.7 GB · up to 16Kfits
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
Mac 32 GB
Mac Mini M4 · Macs
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mistral Large Instruct 2411
Doesn't fit
smallest quant needs 58.3 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Llama 4 Scout 17B 16E Instruct
IQ3_M · ~32 tok/s
59.1 GB · up to 16K
Mistral Large Instruct 2411
Q3_K_S · ~7 tok/s
59.9 GB · up to 16K
Mac 128 GB
Mac Studio M4 Max · Macs
Llama 4 Scout 17B 16E Instruct
Q4_K_M · ~26 tok/s
77 GB · up to 32Kfaster
Mistral Large Instruct 2411
Q4_K_M · ~5 tok/s
79.8 GB · up to 128K
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Llama 4 Scout 17B 16E Instruct
Mistral Large Instruct 2411
Science
Llama 4 Scout 17B 16E Instruct
Mistral Large Instruct 2411
no data
Reasoning
Llama 4 Scout 17B 16E Instruct
Mistral Large Instruct 2411
Llama 4 Scout 17B 16E Instruct · #85 of 106 open models · #42 of 62 that fit ≤96 GB
Mistral Large Instruct 2411 · #83 of 106 open models · #40 of 62 that fit ≤96 GB
Benchmarks
6 shared boards: Llama 4 Scout 17B 16E Instruct leads 3, Mistral Large Instruct 2411 leads 2 · Benchmarks imported Nov 2026
Llama 4 Scout 17B 16E Instruct
51.8%#53/100 open
IndependentEpoch AI · Apr 2025
Mistral Large Instruct 2411
51.3%#54/100 open
IndependentEpoch AI · Nov 2024
Llama 4 Scout 17B 16E Instruct
7.8%#64/88 open
IndependentEpoch AI · Apr 2025
Mistral Large Instruct 2411
7.8%#65/88 open
IndependentEpoch AI · Nov 2024
Llama 4 Scout 17B 16E Instruct
74.3%#31/146 open
IndependentTIGER-Lab
Mistral Large Instruct 2411
67.9%#42/146 open
IndependentTIGER-Lab
Llama 4 Scout 17B 16E Instruct
62.3%#12/39 open
IndependentEpoch AI · Apr 2025
Mistral Large Instruct 2411
50.3%#14/39 open
IndependentEpoch AI · Nov 2024
Llama 4 Scout 17B 16E Instruct
57.9%#55/70 open
Lab-reportedEpoch AI · Apr 2025
Mistral Large Instruct 2411
60.8%#48/70 open
Lab-reportedEpoch AI · Nov 2024
Llama 4 Scout 17B 16E Instruct
59.1#21/24 open
Lab-reportedEpoch AI · Apr 2025
Mistral Large Instruct 2411
61.5#13/24 open
Lab-reportedEpoch AI · Nov 2024
7 more boards (other shared and single-model boards)
Llama 4 Scout 17B 16E Instruct
1321.4#94/188 open
ArenaLMArena · Oct 2026
Mistral Large Instruct 2411
1305.6#104/188 open
ArenaLMArena · Oct 2026
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
Llama 4 Scout 17B 16E Instruct
50.8 GB39.6 GB file
32K 62.2 GB · 128K 98.7 GB
Mistral Large Instruct 2411
53.2 GB45.2 GB file
32K 64.2 GB · 128K 99.7 GB
Q3_K_S
Llama 4 Scout 17B 16E Instruct
52.3 GB46.7 GB file
32K 63.7 GB · 128K 100 GB
Mistral Large Instruct 2411
54.7 GB52.8 GB file
32K 65.8 GB · 128K 101 GB
Q3_K_M
Llama 4 Scout 17B 16E Instruct
58.3 GB51.8 GB file
32K 69.7 GB · 128K 106 GB
Mistral Large Instruct 2411
60.8 GB59.1 GB file
32K 71.9 GB · 128K 107 GB
Q4_0
Llama 4 Scout 17B 16E Instruct
59.8 GB61.2 GB file
32K 71.2 GB · 128K 108 GB
Mistral Large Instruct 2411
not listed
Q4_K_M
Llama 4 Scout 17B 16E Instruct
71.7 GB65.4 GB file
32K 83.1 GB · 128K 120 GB
Mistral Large Instruct 2411
74.6 GB73.2 GB file
32K 85.7 GB · 128K 121 GB
Q5_K_M
Llama 4 Scout 17B 16E Instruct
85.2 GB76.5 GB file
32K 96.6 GB · 128K 133 GB
Mistral Large Instruct 2411
88.4 GB86.5 GB file
32K 99.5 GB · 128K 135 GB
Q6_K
Llama 4 Scout 17B 16E Instruct
98.6 GB88.4 GB file
32K 110 GB · 128K 147 GB
Mistral Large Instruct 2411
102 GB~101.2 GB file
32K 113 GB · 128K 149 GB
Q8_0
Llama 4 Scout 17B 16E Instruct
120 GB114.5 GB file
32K 131 GB · 128K 167 GB
Mistral Large Instruct 2411
124 GB~122.6 GB file
32K 135 GB · 128K 170 GB
16 more quants
IQ2_XXS
Llama 4 Scout 17B 16E Instruct
32.9 GB37.4 GB file
32K 44.3 GB · 128K 80.8 GB
Mistral Large Instruct 2411
not listed
IQ2_XS
Llama 4 Scout 17B 16E Instruct
35.9 GB31.8 GB file
32K 47.3 GB · 128K 83.8 GB
Mistral Large Instruct 2411
not listed
IQ2_S
Llama 4 Scout 17B 16E Instruct
37.4 GB32.3 GB file
32K 48.8 GB · 128K 85.3 GB
Mistral Large Instruct 2411
not listed
IQ2_M
Llama 4 Scout 17B 16E Instruct
40.3 GB39.1 GB file
32K 51.8 GB · 128K 88.3 GB
Mistral Large Instruct 2411
not listed
IQ3_XXS
Llama 4 Scout 17B 16E Instruct
46.3 GB45.7 GB file
32K 57.7 GB · 128K 94.3 GB
Mistral Large Instruct 2411
not listed
Q2_K_S
Llama 4 Scout 17B 16E Instruct
47.8 GB37.0 GB file
32K 59.2 GB · 128K 95.8 GB
Mistral Large Instruct 2411
not listed
IQ3_XS
Llama 4 Scout 17B 16E Instruct
49.3 GB44.3 GB file
32K 60.7 GB · 128K 97.3 GB
Mistral Large Instruct 2411
not listed
IQ3_S
Llama 4 Scout 17B 16E Instruct
50.8 GB46.8 GB file
32K 62.2 GB · 128K 98.7 GB
Mistral Large Instruct 2411
not listed
IQ3_M
Llama 4 Scout 17B 16E Instruct
53.8 GB47.5 GB file
32K 65.2 GB · 128K 102 GB
Mistral Large Instruct 2411
not listed
Q3_K_L
Llama 4 Scout 17B 16E Instruct
61.3 GB57.8 GB file
32K 72.7 GB · 128K 109 GB
Mistral Large Instruct 2411
63.9 GB64.6 GB file
32K 75.0 GB · 128K 110 GB
IQ4_XS
Llama 4 Scout 17B 16E Instruct
64.2 GB57.7 GB file
32K 75.7 GB · 128K 112 GB
Mistral Large Instruct 2411
not listed
IQ4_NL
Llama 4 Scout 17B 16E Instruct
67.2 GB60.9 GB file
32K 78.6 GB · 128K 115 GB
Mistral Large Instruct 2411
not listed
Q4_1
Llama 4 Scout 17B 16E Instruct
67.2 GB67.6 GB file
32K 78.6 GB · 128K 115 GB
Mistral Large Instruct 2411
not listed
Q4_K_S
Llama 4 Scout 17B 16E Instruct
67.2 GB61.5 GB file
32K 78.6 GB · 128K 115 GB
Mistral Large Instruct 2411
70.0 GB69.6 GB file
32K 81.1 GB · 128K 117 GB
Q5_K_S
Llama 4 Scout 17B 16E Instruct
82.2 GB74.3 GB file
32K 93.6 GB · 128K 130 GB
Mistral Large Instruct 2411
85.3 GB84.4 GB file
32K 96.4 GB · 128K 132 GB
BF16
Llama 4 Scout 17B 16E Instruct
239 GB215.6 GB file
32K 250 GB · 128K 287 GB
Mistral Large Instruct 2411
246 GB~245.2 GB file
32K 257 GB · 128K 293 GB
Llama 4 Scout 17B 16E Instruct
Ollama · Q4_K_M
ollama run hf.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF:Q4_K_MMistral Large Instruct 2411
Ollama · Q4_K_M
ollama run hf.co/MaziyarPanahi/Mistral-Large-Instruct-2411-GGUF:Q4_K_M| Spec | Llama 4 Scout 17B 16E Instruct | Mistral Large Instruct 2411 |
|---|---|---|
| Publisher | Meta | Mistral AI |
| Parameters | 108.6B | 122.6B |
| Active parameters | 17B per token | — |
| Architecture | — | MistralForCausalLM |
| Context | — | 128K tokens |
| Modalities | Vision | Chat |
| License | Other | Other |
| Released | Apr 2025 | Nov 2024 |
Frequently Asked Questions
Which is better, Llama 4 Scout 17B 16E Instruct or Mistral Large Instruct 2411?
Llama 4 Scout 17B 16E Instruct and Mistral Large Instruct 2411 match in llmrun Score, with values of 82.1 versus 82.5; neither fits 24 GB. Choose Llama 4 Scout 17B 16E Instruct for also does vision and newer release; choose Mistral Large Instruct 2411 for stronger at reasoning and also does chat.
Which needs less VRAM, Llama 4 Scout 17B 16E Instruct or Mistral Large Instruct 2411?
At Q4_K_M, Llama 4 Scout 17B 16E Instruct requires 71.7 GB while Mistral Large Instruct 2411 needs 74.6 GB, making Llama 4 Scout 17B 16E Instruct the easier model to run on your local setup.
Can I run Llama 4 Scout 17B 16E Instruct or Mistral Large Instruct 2411 on a 16 GB GPU?
Llama 4 Scout 17B 16E Instruct does not fit (smallest quant needs 38.2 GB); Mistral Large Instruct 2411 does not fit (smallest quant needs 58.3 GB).