Llama 2 70B Chat HF vs Mixtral 8x22B Instruct v0.1

Mixtral 8x22B Instruct v0.1 leads llmrun Score 71.6 to 50.4 (ranges overlap); neither fits 24 GB.

Model A · Meta

Llama 2 70B Chat HF

50.4llmrun Score

69.0B · Llama 2 Community · Jul 2023

Chat

Model B · Mistral AI

Mixtral 8x22B Instruct v0.1

71.6llmrun Score

140.6B · 39.2B active · 64K context · Apache 2.0 · Apr 2024

ChatFunctions

Which should you choose?

Choose Mixtral 8x22B Instruct v0.1 if you want…

Higher llmrun Score
71.6 vs 50.4, ranges overlap
Stronger at reasoning
76.2 vs 45.3
Ahead on the benchmarks
4 of 4 shared boards
Fits a Mac 128 GB
Q4_K_M · 88.4 GB; Llama 2 70B Chat HF needs 156.4 GB at its smallest quant
Also does function-calling
Llama 2 70B Chat HF doesn't list it
More permissive license
Apache 2.0 vs Llama 2 Community

Llama 2 70B Chat HF: no clear edge over Mixtral 8x22B Instruct v0.1 in the data we have.

On your hardware

Each model at its default quant (BF16 / Q4_K_M), a smaller one when it must. Estimates, ±20%.

MemoryLlama 2 70B Chat HFMixtral 8x22B Instruct v0.1

8 GB

RTX 4060 · 8 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Doesn't fit

smallest quant needs 42.7 GB

12 GB

RTX 3060 12GB · 12 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Doesn't fit

smallest quant needs 42.7 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Doesn't fit

smallest quant needs 42.7 GB

24 GBreference

RTX 4090 · 24 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Doesn't fit

smallest quant needs 42.7 GB

32 GB

RTX 5090 · 32 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Doesn't fit

smallest quant needs 42.7 GB

48 GB

RTX A6000 · 48 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

IQ2_XS · ~37 tok/s

46.3 GB · up to 16Kfits

Mac 32 GB

Mac Mini M4 · Macs

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Doesn't fit

smallest quant needs 42.7 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

IQ2_M · ~22 tok/s

51.5 GB · up to 32Kfits

Mac 128 GB

Mac Studio M4 Max · Macs

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mixtral 8x22B Instruct v0.1

Q4_K_M · ~14 tok/s

88.4 GB · up to 64Kfits

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 2 70B Chat HF Mixtral 8x22B Instruct v0.1

Overall

Llama 2 70B Chat HF

50.432–69

Mixtral 8x22B Instruct v0.1

71.666–78

Reasoning

Llama 2 70B Chat HF

45.321–69

Mixtral 8x22B Instruct v0.1

76.265–87

Llama 2 70B Chat HF · #100 of 100 open models · #78 of 78 that fit ≤192 GB

Mixtral 8x22B Instruct v0.1 · #92 of 100 open models · #53 of 60 that fit ≤96 GB

Benchmarks

4 shared boards: Llama 2 70B Chat HF leads 0, Mixtral 8x22B Instruct v0.1 leads 4 · Benchmarks imported Oct 2026

BoardLlama 2 70B Chat HFMixtral 8x22B Instruct v0.1

GPQA Diamond

Llama 2 70B Chat HF

26.3%#88/98 open

IndependentEpoch AI · Jul 2023

Mixtral 8x22B Instruct v0.1

34.1%#76/98 open

IndependentEpoch AI · Apr 2024

MATH Level 5

Llama 2 70B Chat HF

3.3%#39/39 open

IndependentEpoch AI · Jul 2023

Mixtral 8x22B Instruct v0.1

24.2%#27/39 open

IndependentEpoch AI · Apr 2024

DTBench

Llama 2 70B Chat HF

41.6%#68/68 open

Lab-reportedEpoch AI · Jul 2023

Mixtral 8x22B Instruct v0.1

55.1%#54/68 open

Lab-reportedEpoch AI · Apr 2024

ForecastBench

Llama 2 70B Chat HF

51.4#26/26 open

Lab-reportedEpoch AI · Jul 2023

Mixtral 8x22B Instruct v0.1

56.3#22/26 open

Lab-reportedEpoch AI · Apr 2024

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

LMArena Text

Llama 2 70B Chat HF

1170.7#161/187 open

ArenaLMArena · Oct 2026

Mixtral 8x22B Instruct v0.1

1229.7#135/187 open

ArenaLMArena · Oct 2026

Only Llama 2 70B Chat HF (4)

Only Mixtral 8x22B Instruct v0.1 (2)

MMLU-Pro56.3%
WeirdML3.2%

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 2 70B Chat HFMixtral 8x22B Instruct v0.1

Q2_K

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

60.5 GB52.1 GB file

32K 67.6 GB · 128K —

Q3_K_S

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

62.3 GB61.5 GB file

32K 69.4 GB · 128K —

Q3_K_M

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

69.3 GB67.8 GB file

32K 76.4 GB · 128K —

Q4_K_M

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

85.2 GB85.6 GB file

32K 92.2 GB · 128K —

Q5_K_M

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

101 GB100.0 GB file

32K 108 GB · 128K —

Q6_K

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

117 GB~116.0 GB file

32K 124 GB · 128K —

Q8_0

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

141 GB149.4 GB file

32K 148 GB · 128K —

BF16

Llama 2 70B Chat HF

152 GB~137.9 GB file

32K 162 GB · 128K 194 GB

Mixtral 8x22B Instruct v0.1

282 GB~281.3 GB file

32K 289 GB · 128K —

9 more quants

IQ2_XXS

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

39.4 GB37.9 GB file

32K 46.5 GB · 128K —

IQ2_XS

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

43.0 GB42.0 GB file

32K 50.0 GB · 128K —

IQ2_S

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

44.7 GB42.6 GB file

32K 51.8 GB · 128K —

IQ2_M

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

48.2 GB46.7 GB file

32K 55.3 GB · 128K —

IQ3_XS

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

58.8 GB58.2 GB file

32K 65.8 GB · 128K —

Q3_K_L

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

72.8 GB72.6 GB file

32K 79.9 GB · 128K —

IQ4_XS

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

76.4 GB76.4 GB file

32K 83.4 GB · 128K —

Q4_K_S

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

79.9 GB80.5 GB file

32K 86.9 GB · 128K —

Q5_K_S

Llama 2 70B Chat HF

not listed

Mixtral 8x22B Instruct v0.1

97.5 GB97.0 GB file

32K 105 GB · 128K —

How to run each

Llama 2 70B Chat HF

No local recipe · BF16

No GGUF repo entry exists for this model yet.

All ways to run Llama 2 70B Chat HF →

Mixtral 8x22B Instruct v0.1

Ollama · Q4_K_M

$ollama run hf.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUF:Q4_K_M

All ways to run Mixtral 8x22B Instruct v0.1 →

Specifications

Specifications of Llama 2 70B Chat HF and Mixtral 8x22B Instruct v0.1
Spec	Llama 2 70B Chat HF	Mixtral 8x22B Instruct v0.1
Publisher	Meta	Mistral AI
Parameters	69.0B	140.6B
Active parameters	—	39B per token
Architecture	—	MixtralForCausalLM
Context	—	64K tokens
Modalities	Chat	Chat, Function-calling
License	Llama 2 Community	Apache 2.0
Released	Jul 2023	Apr 2024

Frequently Asked Questions

Which is better, Llama 2 70B Chat HF or Mixtral 8x22B Instruct v0.1?

Mixtral 8x22B Instruct v0.1 leads llmrun Score 71.6 to 50.4 (ranges overlap); neither fits 24 GB. Choose Mixtral 8x22B Instruct v0.1 for higher llmrun Score and stronger at reasoning.

Can I run Llama 2 70B Chat HF or Mixtral 8x22B Instruct v0.1 on a 16 GB GPU?

Llama 2 70B Chat HF does not fit (smallest quant needs 156.4 GB); Mixtral 8x22B Instruct v0.1 does not fit (smallest quant needs 42.7 GB).