Llama 3.3 70B Instruct vs Llama 4 Scout 17B 16E Instruct

Llama 4 Scout 17B 16E Instruct leads llmrun Score 82.1 to 80.0 (ranges overlap); neither fits 24 GB.

Run Llama 4 Scout 17B 16E Instruct in the cloud →

Model A · Meta

Llama 3.3 70B Instruct

80.0llmrun Score

70.6B · 128K context · llama3.3 · Nov 2024

ChatFunctions

Model B · Meta

Llama 4 Scout 17B 16E Instruct

82.1llmrun Score

108.6B · 17B active · Other · Apr 2025

Vision

Which should you choose?

Choose Llama 3.3 70B Instruct if you want…

Fits a 48 GB GPU
Q4_K_M · 51.3 GB; Llama 4 Scout 17B 16E Instruct needs 38.2 GB at its smallest quant
Lighter on memory
46.6 vs 71.7 GB at Q4_K_M
Also does chat, function-calling
Llama 4 Scout 17B 16E Instruct doesn't list it

Choose Llama 4 Scout 17B 16E Instruct if you want…

Higher llmrun Score
82.1 vs 80.0, ranges overlap
Also does vision
Llama 3.3 70B Instruct doesn't list it
Newer release
Apr 2025 vs Nov 2024

On your hardware

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

MemoryLlama 3.3 70B InstructLlama 4 Scout 17B 16E Instruct

8 GB

RTX 4060 · 8 GB tier

Llama 3.3 70B Instruct

Doesn't fit

smallest quant needs 26.1 GB

Llama 4 Scout 17B 16E Instruct

Doesn't fit

smallest quant needs 38.2 GB

12 GB

RTX 3060 12GB · 12 GB tier

Llama 3.3 70B Instruct

Doesn't fit

smallest quant needs 26.1 GB

Llama 4 Scout 17B 16E Instruct

Doesn't fit

smallest quant needs 38.2 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Llama 3.3 70B Instruct

Doesn't fit

smallest quant needs 26.1 GB

Llama 4 Scout 17B 16E Instruct

Doesn't fit

smallest quant needs 38.2 GB

24 GBreference

RTX 4090 · 24 GB tier

Llama 3.3 70B Instruct

Doesn't fit

smallest quant needs 26.1 GB

Llama 4 Scout 17B 16E Instruct

Doesn't fit

smallest quant needs 38.2 GB

32 GB

RTX 5090 · 32 GB tier

Llama 3.3 70B Instruct

IQ2_M · ~45 tok/s

30.9 GB · up to 16Kfits

Llama 4 Scout 17B 16E Instruct

Doesn't fit

smallest quant needs 38.2 GB

48 GB

RTX A6000 · 48 GB tier

Llama 3.3 70B Instruct

Q4_K_M · ~11 tok/stight

51.3 GB · up to 4K

Llama 4 Scout 17B 16E Instruct

IQ2_M · ~65 tok/s

45.7 GB · up to 16Kmore headroom

Mac 32 GB

Mac Mini M4 · Macs

Llama 3.3 70B Instruct

IQ2_XS · ~4 tok/s

28 GB · up to 16Kfits

Llama 4 Scout 17B 16E Instruct

Doesn't fit

smallest quant needs 38.2 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Llama 3.3 70B Instruct

Q4_K_M · ~8 tok/s

51.3 GB · up to 32Kmore headroom

Llama 4 Scout 17B 16E Instruct

IQ3_M · ~32 tok/s

59.1 GB · up to 16K

Mac 128 GB

Mac Studio M4 Max · Macs

Llama 3.3 70B Instruct

Q4_K_M · ~8 tok/s

51.3 GB · up to 128K

Llama 4 Scout 17B 16E Instruct

Q4_K_M · ~26 tok/s

77 GB · up to 32Kfaster

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

Llama 3.3 70B Instruct Llama 4 Scout 17B 16E Instruct

Overall

Llama 3.3 70B Instruct

80.076–84

Llama 4 Scout 17B 16E Instruct

82.178–86

Coding

Llama 3.3 70B Instruct

75.760–91

Llama 4 Scout 17B 16E Instruct

no data

Science

Llama 3.3 70B Instruct

81.072–90

Llama 4 Scout 17B 16E Instruct

83.776–92

Reasoning

Llama 3.3 70B Instruct

83.475–92

Llama 4 Scout 17B 16E Instruct

80.771–90

Llama 3.3 70B Instruct · #89 of 106 open models · #35 of 51 that fit ≤64 GB

Llama 4 Scout 17B 16E Instruct · #85 of 106 open models · #42 of 62 that fit ≤96 GB

Benchmarks

10 shared boards: Llama 3.3 70B Instruct leads 4, Llama 4 Scout 17B 16E Instruct leads 5 · Benchmarks imported Nov 2026

BoardLlama 3.3 70B InstructLlama 4 Scout 17B 16E Instruct

GPQA Diamond

Llama 3.3 70B Instruct

47.4%#62/100 open

IndependentEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

51.8%#53/100 open

IndependentEpoch AI · Apr 2025

AIME 2024/2025

Llama 3.3 70B Instruct

5.1%#70/88 open

IndependentEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

7.8%#64/88 open

IndependentEpoch AI · Apr 2025

MMLU-Pro

Llama 3.3 70B Instruct

65.9%#44/146 open

IndependentTIGER-Lab

Llama 4 Scout 17B 16E Instruct

74.3%#31/146 open

IndependentTIGER-Lab

SciCode

Llama 3.3 70B Instruct

26.0%#64/72 open

Lab-reportedEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

21.3%#69/72 open

Lab-reportedEpoch AI · Apr 2025

MATH Level 5

Llama 3.3 70B Instruct

41.6%#20/39 open

IndependentEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

62.3%#12/39 open

IndependentEpoch AI · Apr 2025

CritPt

Llama 3.3 70B Instruct

0.0%#66/84 open

Lab-reportedEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

0.0%#68/84 open

Lab-reportedEpoch AI · Apr 2025

DTBench

Llama 3.3 70B Instruct

59.5%#53/70 open

Lab-reportedEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

57.9%#55/70 open

Lab-reportedEpoch AI · Apr 2025

Fiction.LiveBench

Llama 3.3 70B Instruct

33.3%#24/25 open

IndependentEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

36.0%#22/25 open

IndependentEpoch AI · Apr 2025

ForecastBench

Llama 3.3 70B Instruct

61.3#15/24 open

Lab-reportedEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

59.1#21/24 open

Lab-reportedEpoch AI · Apr 2025

LMCA

Llama 3.3 70B Instruct

17.5%#38/56 open

Lab-reportedEpoch AI · Dec 2024

Llama 4 Scout 17B 16E Instruct

12.0%#48/56 open

Lab-reportedEpoch AI · Apr 2025

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

LMArena Text

Llama 3.3 70B Instruct

1318.0#96/188 open

ArenaLMArena · Oct 2026

Llama 4 Scout 17B 16E Instruct

1321.4#94/188 open

ArenaLMArena · Oct 2026

Only Llama 3.3 70B Instruct (4)

SimpleBench19.9%
MMLU86.3%
WeirdML14.4%
BALROG23.0%

Only Llama 4 Scout 17B 16E Instruct (2)

ARC-AGI-20.0%
ARC-AGI0.5%

VRAM by quantization

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

QuantLlama 3.3 70B InstructLlama 4 Scout 17B 16E Instruct

Q2_K

Llama 3.3 70B Instruct

33.0 GB26.4 GB file

32K 43.1 GB · 128K 75.5 GB

Llama 4 Scout 17B 16E Instruct

50.8 GB39.6 GB file

32K 62.2 GB · 128K 98.7 GB

Q3_K_S

Llama 3.3 70B Instruct

34.0 GB30.9 GB file

32K 44.1 GB · 128K 76.4 GB

Llama 4 Scout 17B 16E Instruct

52.3 GB46.7 GB file

32K 63.7 GB · 128K 100 GB

Q3_K_M

Llama 3.3 70B Instruct

37.8 GB34.3 GB file

32K 48.0 GB · 128K 80.3 GB

Llama 4 Scout 17B 16E Instruct

58.3 GB51.8 GB file

32K 69.7 GB · 128K 106 GB

Q4_0

Llama 3.3 70B Instruct

38.8 GB40.0 GB file

32K 48.9 GB · 128K 81.3 GB

Llama 4 Scout 17B 16E Instruct

59.8 GB61.2 GB file

32K 71.2 GB · 128K 108 GB

Q4_K_M

Llama 3.3 70B Instruct

46.6 GB42.5 GB file

32K 56.7 GB · 128K 89.1 GB

Llama 4 Scout 17B 16E Instruct

71.7 GB65.4 GB file

32K 83.1 GB · 128K 120 GB

Q5_K_M

Llama 3.3 70B Instruct

55.3 GB49.9 GB file

32K 65.4 GB · 128K 97.8 GB

Llama 4 Scout 17B 16E Instruct

85.2 GB76.5 GB file

32K 96.6 GB · 128K 133 GB

Q6_K

Llama 3.3 70B Instruct

64.0 GB57.9 GB file

32K 74.2 GB · 128K 107 GB

Llama 4 Scout 17B 16E Instruct

98.6 GB88.4 GB file

32K 110 GB · 128K 147 GB

Q8_0

Llama 3.3 70B Instruct

77.6 GB75.0 GB file

32K 87.7 GB · 128K 120 GB

Llama 4 Scout 17B 16E Instruct

120 GB114.5 GB file

32K 131 GB · 128K 167 GB

19 more quants

IQ2_XXS

Llama 3.3 70B Instruct

21.3 GB19.1 GB file

32K 31.5 GB · 128K 63.8 GB

Llama 4 Scout 17B 16E Instruct

32.9 GB37.4 GB file

32K 44.3 GB · 128K 80.8 GB

IQ2_XS

Llama 3.3 70B Instruct

23.3 GB21.1 GB file

32K 33.4 GB · 128K 65.8 GB

Llama 4 Scout 17B 16E Instruct

35.9 GB31.8 GB file

32K 47.3 GB · 128K 83.8 GB

IQ2_S

Llama 3.3 70B Instruct

24.3 GB22.2 GB file

32K 34.4 GB · 128K 66.7 GB

Llama 4 Scout 17B 16E Instruct

37.4 GB32.3 GB file

32K 48.8 GB · 128K 85.3 GB

IQ2_M

Llama 3.3 70B Instruct

26.2 GB24.1 GB file

32K 36.3 GB · 128K 68.7 GB

Llama 4 Scout 17B 16E Instruct

40.3 GB39.1 GB file

32K 51.8 GB · 128K 88.3 GB

IQ3_XXS

Llama 3.3 70B Instruct

30.1 GB27.5 GB file

32K 40.2 GB · 128K 72.6 GB

Llama 4 Scout 17B 16E Instruct

46.3 GB45.7 GB file

32K 57.7 GB · 128K 94.3 GB

Q2_K_S

Llama 3.3 70B Instruct

31.0 GB24.5 GB file

32K 41.2 GB · 128K 73.5 GB

Llama 4 Scout 17B 16E Instruct

47.8 GB37.0 GB file

32K 59.2 GB · 128K 95.8 GB

IQ3_XS

Llama 3.3 70B Instruct

32.0 GB29.3 GB file

32K 42.1 GB · 128K 74.5 GB

Llama 4 Scout 17B 16E Instruct

49.3 GB44.3 GB file

32K 60.7 GB · 128K 97.3 GB

IQ3_S

Llama 3.3 70B Instruct

33.0 GB30.9 GB file

32K 43.1 GB · 128K 75.5 GB

Llama 4 Scout 17B 16E Instruct

50.8 GB46.8 GB file

32K 62.2 GB · 128K 98.7 GB

IQ3_M

Llama 3.3 70B Instruct

34.9 GB31.9 GB file

32K 45.0 GB · 128K 77.4 GB

Llama 4 Scout 17B 16E Instruct

53.8 GB47.5 GB file

32K 65.2 GB · 128K 102 GB

Q3_K_L

Llama 3.3 70B Instruct

39.8 GB37.1 GB file

32K 49.9 GB · 128K 82.3 GB

Llama 4 Scout 17B 16E Instruct

61.3 GB57.8 GB file

32K 72.7 GB · 128K 109 GB

IQ4_XS

Llama 3.3 70B Instruct

41.7 GB37.9 GB file

32K 51.8 GB · 128K 84.2 GB

Llama 4 Scout 17B 16E Instruct

64.2 GB57.7 GB file

32K 75.7 GB · 128K 112 GB

IQ4_NL

Llama 3.3 70B Instruct

43.7 GB40.1 GB file

32K 53.8 GB · 128K 86.2 GB

Llama 4 Scout 17B 16E Instruct

67.2 GB60.9 GB file

32K 78.6 GB · 128K 115 GB

Q4_1

Llama 3.3 70B Instruct

43.7 GB44.3 GB file

32K 53.8 GB · 128K 86.2 GB

Llama 4 Scout 17B 16E Instruct

67.2 GB67.6 GB file

32K 78.6 GB · 128K 115 GB

Q4_K_S

Llama 3.3 70B Instruct

43.7 GB40.3 GB file

32K 53.8 GB · 128K 86.2 GB

Llama 4 Scout 17B 16E Instruct

67.2 GB61.5 GB file

32K 78.6 GB · 128K 115 GB

Q4_K_L

Llama 3.3 70B Instruct

47.5 GB43.3 GB file

32K 57.7 GB · 128K 90.0 GB

Llama 4 Scout 17B 16E Instruct

not listed

Q5_0

Llama 3.3 70B Instruct

48.5 GB48.7 GB file

32K 58.6 GB · 128K 91.0 GB

Llama 4 Scout 17B 16E Instruct

not listed

Q5_K_S

Llama 3.3 70B Instruct

53.4 GB48.7 GB file

32K 63.5 GB · 128K 95.9 GB

Llama 4 Scout 17B 16E Instruct

82.2 GB74.3 GB file

32K 93.6 GB · 128K 130 GB

Q5_K_L

Llama 3.3 70B Instruct

56.3 GB50.6 GB file

32K 66.4 GB · 128K 98.8 GB

Llama 4 Scout 17B 16E Instruct

not listed

BF16

Llama 3.3 70B Instruct

155 GB141.1 GB file

32K 165 GB · 128K 198 GB

Llama 4 Scout 17B 16E Instruct

239 GB215.6 GB file

32K 250 GB · 128K 287 GB

How to run each

Llama 3.3 70B Instruct

Ollama · Q4_K_M

$ollama run hf.co/bartowski/Llama-3.3-70B-Instruct-GGUF:Q4_K_M

All ways to run Llama 3.3 70B Instruct →

Llama 4 Scout 17B 16E Instruct

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF:Q4_K_M

All ways to run Llama 4 Scout 17B 16E Instruct →

Specifications

Specifications of Llama 3.3 70B Instruct and Llama 4 Scout 17B 16E Instruct
Spec	Llama 3.3 70B Instruct	Llama 4 Scout 17B 16E Instruct
Publisher	Meta	Meta
Parameters	70.6B	108.6B
Active parameters	—	17B per token
Context	128K tokens	—
Modalities	Chat, Function-calling	Vision
License	llama3.3	Other
Released	Nov 2024	Apr 2025

Frequently Asked Questions

Which is better, Llama 3.3 70B Instruct or Llama 4 Scout 17B 16E Instruct?

Llama 4 Scout 17B 16E Instruct leads llmrun Score 82.1 to 80.0 (ranges overlap); neither fits 24 GB. Choose Llama 3.3 70B Instruct for fits a 48 GB GPU and lighter on memory; choose Llama 4 Scout 17B 16E Instruct for higher llmrun Score and also does vision.

Which needs less VRAM, Llama 3.3 70B Instruct or Llama 4 Scout 17B 16E Instruct?

At Q4_K_M, Llama 3.3 70B Instruct requires 46.6 GB while Llama 4 Scout 17B 16E Instruct needs 71.7 GB, making Llama 3.3 70B Instruct the easier model to run on your local setup.

Can I run Llama 3.3 70B Instruct or Llama 4 Scout 17B 16E Instruct on a 16 GB GPU?

Llama 3.3 70B Instruct does not fit (smallest quant needs 26.1 GB); Llama 4 Scout 17B 16E Instruct does not fit (smallest quant needs 38.2 GB).