Llama 4 Scout 17B 16E Instruct vs Mistral Large Instruct 2407
Llama 4 Scout 17B 16E Instruct and Mistral Large Instruct 2407 match in llmrun Score, with values of 81.8 versus 81.1; neither fits 24 GB.
Model A · Meta
Llama 4 Scout 17B 16E Instruct108.6B · 17B active · Other · Apr 2025
Model B · Mistral AI
Mistral Large Instruct 2407122.6B · Other · Jul 2024
Choose Llama 4 Scout 17B 16E Instruct if you want…
Ahead on the benchmarks
4 of 6 shared boards
Fits a Mac 64 GB
IQ3_M · 59.1 GB; Mistral Large Instruct 2407 needs 42.6 GB at its smallest quant
Also does vision
Mistral Large Instruct 2407 doesn't list it
Newer release
Apr 2025 vs Jul 2024
Choose Mistral Large Instruct 2407 if you want…
Also does chat, function-calling
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 2407
Doesn't fit
smallest quant needs 42.6 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 2407
Doesn't fit
smallest quant needs 42.6 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 2407
Doesn't fit
smallest quant needs 42.6 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 2407
Doesn't fit
smallest quant needs 42.6 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 2407
Doesn't fit
smallest quant needs 42.6 GB
48 GB
RTX A6000 · 48 GB tier
Llama 4 Scout 17B 16E Instruct
IQ2_M · ~65 tok/s
45.7 GB · up to 16K
Mistral Large Instruct 2407
IQ2_S · ~12 tok/s
47.7 GB · up to 16K
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 2407
Doesn't fit
smallest quant needs 42.6 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 16Kbetter quant
Mistral Large Instruct 2407
Q2_K_S · ~7 tok/s
59.5 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 2407
Q4_K_M · ~5 tok/s
86.4 GB · up to 32K
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 2407
Science
Llama 4 Scout 17B 16E Instruct
Mistral Large Instruct 2407
no data
Reasoning
Llama 4 Scout 17B 16E Instruct
Mistral Large Instruct 2407
Llama 4 Scout 17B 16E Instruct · #79 of 100 open models · #40 of 60 that fit ≤96 GB
Mistral Large Instruct 2407 · #81 of 100 open models · #42 of 60 that fit ≤96 GB
Benchmarks
6 shared boards: Llama 4 Scout 17B 16E Instruct leads 4, Mistral Large Instruct 2407 leads 2 · Benchmarks imported Oct 2026
Llama 4 Scout 17B 16E Instruct
51.8%#51/98 open
IndependentEpoch AI · Apr 2025
Mistral Large Instruct 2407
49.0%#56/98 open
IndependentEpoch AI · Jul 2024
Llama 4 Scout 17B 16E Instruct
7.8%#62/86 open
IndependentEpoch AI · Apr 2025
Mistral Large Instruct 2407
8.5%#59/86 open
IndependentEpoch AI · Jul 2024
Llama 4 Scout 17B 16E Instruct
74.3%#31/145 open
IndependentTIGER-Lab
Mistral Large Instruct 2407
65.9%#45/145 open
IndependentTIGER-Lab
Llama 4 Scout 17B 16E Instruct
62.3%#12/39 open
IndependentEpoch AI · Apr 2025
Mistral Large Instruct 2407
44.8%#17/39 open
IndependentEpoch AI · Jul 2024
Llama 4 Scout 17B 16E Instruct
57.9%#53/68 open
Lab-reportedEpoch AI · Apr 2025
Mistral Large Instruct 2407
61.2%#45/68 open
Lab-reportedEpoch AI · Jul 2024
Llama 4 Scout 17B 16E Instruct
57.5#17/26 open
Lab-reportedEpoch AI · Apr 2025
Mistral Large Instruct 2407
57.1#20/26 open
Lab-reportedEpoch AI · Jul 2024
9 more boards (other shared and single-model boards)
Llama 4 Scout 17B 16E Instruct
1321.5#94/187 open
ArenaLMArena · Oct 2026
Mistral Large Instruct 2407
1314.4#98/187 open
ArenaLMArena · Oct 2026
Only Llama 4 Scout 17B 16E Instruct (6)
Only Mistral Large Instruct 2407 (2)
- SimpleBench22.5%
- MMLU80.0%
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 2407
57.3 GB45.2 GB file
32K 69.1 GB · 128K 107 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 2407
59.0 GB52.8 GB file
32K 70.8 GB · 128K 109 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 2407
65.8 GB59.1 GB file
32K 77.6 GB · 128K 115 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 2407
67.4 GB69.1 GB file
32K 79.3 GB · 128K 117 GB
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 2407
80.9 GB73.2 GB file
32K 92.7 GB · 128K 131 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 2407
96.1 GB86.5 GB file
32K 108 GB · 128K 146 GB
Q6_K
Llama 4 Scout 17B 16E Instruct
98.6 GB88.4 GB file
32K 110 GB · 128K 147 GB
Mistral Large Instruct 2407
111 GB100.6 GB file
32K 123 GB · 128K 161 GB
Q8_0
Llama 4 Scout 17B 16E Instruct
120 GB114.5 GB file
32K 131 GB · 128K 167 GB
Mistral Large Instruct 2407
135 GB130.3 GB file
32K 147 GB · 128K 184 GB
17 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 2407
37.1 GB32.4 GB file
32K 48.9 GB · 128K 86.7 GB
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 2407
40.5 GB36.1 GB file
32K 52.3 GB · 128K 90.1 GB
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 2407
42.2 GB38.4 GB file
32K 54.0 GB · 128K 91.8 GB
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 2407
45.5 GB41.6 GB file
32K 57.3 GB · 128K 95.1 GB
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 2407
52.3 GB47.0 GB file
32K 64.1 GB · 128K 102 GB
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 2407
54.0 GB41.6 GB file
32K 65.8 GB · 128K 104 GB
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 2407
55.6 GB50.1 GB file
32K 67.4 GB · 128K 105 GB
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 2407
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 2407
60.7 GB55.3 GB file
32K 72.5 GB · 128K 110 GB
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 2407
69.1 GB64.6 GB file
32K 80.9 GB · 128K 119 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 2407
72.5 GB65.4 GB file
32K 84.3 GB · 128K 122 GB
IQ4_NL
Llama 4 Scout 17B 16E Instruct
67.2 GB60.9 GB file
32K 78.6 GB · 128K 115 GB
Mistral Large Instruct 2407
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 2407
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 2407
75.9 GB69.6 GB file
32K 87.7 GB · 128K 125 GB
Q5_0
Llama 4 Scout 17B 16E Instruct
not listed
Mistral Large Instruct 2407
84.3 GB84.4 GB file
32K 96.1 GB · 128K 134 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 2407
92.7 GB84.4 GB file
32K 105 GB · 128K 142 GB
BF16
Llama 4 Scout 17B 16E Instruct
239 GB215.6 GB file
32K 250 GB · 128K 287 GB
Mistral Large Instruct 2407
270 GB~245.2 GB file
32K 282 GB · 128K 319 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 2407
Ollama · Q4_K_M
ollama run hf.co/MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF:Q4_K_M| Spec | Llama 4 Scout 17B 16E Instruct | Mistral Large Instruct 2407 |
|---|---|---|
| Publisher | Meta | Mistral AI |
| Parameters | 108.6B | 122.6B |
| Active parameters | 17B per token | — |
| Modalities | Vision | Chat, Function-calling |
| License | Other | Other |
| Released | Apr 2025 | Jul 2024 |
Frequently Asked Questions
Which is better, Llama 4 Scout 17B 16E Instruct or Mistral Large Instruct 2407?
Llama 4 Scout 17B 16E Instruct and Mistral Large Instruct 2407 match in llmrun Score, with values of 81.8 versus 81.1; neither fits 24 GB. Choose Llama 4 Scout 17B 16E Instruct for ahead on the benchmarks and fits a Mac 64 GB; choose Mistral Large Instruct 2407 for also does chat, function-calling.
Which needs less VRAM, Llama 4 Scout 17B 16E Instruct or Mistral Large Instruct 2407?
At Q4_K_M, Llama 4 Scout 17B 16E Instruct requires 71.7 GB while Mistral Large Instruct 2407 needs 80.9 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 2407 on a 16 GB GPU?
Llama 4 Scout 17B 16E Instruct does not fit (smallest quant needs 38.2 GB); Mistral Large Instruct 2407 does not fit (smallest quant needs 42.6 GB).