llmrun

Qwen2.5 72B Instruct vs Qwen2 72B Instruct

Qwen2.5 72B Instruct leads llmrun Score 82.2 to 77.5 (ranges overlap); neither fits 24 GB.

Run Qwen2.5 72B Instruct in the cloud →

72.7B · 32K context · Other · Sep 2024

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72.7B · 32K context · Other · May 2024

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Which should you choose?

Choose Qwen2.5 72B Instruct if you want…

  • Higher llmrun Score

    82.2 vs 77.5, ranges overlap

  • Ahead on the benchmarks

    4 of 4 shared boards

  • Also does function-calling

    Qwen2 72B Instruct doesn't list it

  • Newer release

    Sep 2024 vs May 2024

Qwen2 72B Instruct: no clear edge over Qwen2.5 72B Instruct in the data we have.

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

Qwen2.5 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

Qwen2 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

12 GB

RTX 3060 12GB · 12 GB tier

Qwen2.5 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

Qwen2 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Qwen2.5 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

Qwen2 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

24 GBreference

RTX 4090 · 24 GB tier

Qwen2.5 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

Qwen2 72B Instruct

Doesn't fit

smallest quant needs 25.7 GB

32 GB

RTX 5090 · 32 GB tier

Qwen2.5 72B Instruct

IQ2_M · ~46 tok/s

30.2 GB · up to 16K

Qwen2 72B Instruct

IQ2_M · ~46 tok/s

30.2 GB · up to 16K

48 GB

RTX A6000 · 48 GB tier

Qwen2.5 72B Instruct

Q4_K_M · ~11 tok/stight

49.3 GB · up to 8K

Qwen2 72B Instruct

Q4_K_M · ~11 tok/stight

49.3 GB · up to 8K

Mac 32 GB

Mac Mini M4 · Macs

Qwen2.5 72B Instruct

IQ2_S · ~4 tok/s

28.4 GB · up to 16K

Qwen2 72B Instruct

IQ2_S · ~4 tok/s

28.4 GB · up to 16K

Mac 64 GB

Mac Studio M4 Max · Macs

Qwen2.5 72B Instruct

Q4_K_M · ~9 tok/s

49.3 GB · up to 32K

Qwen2 72B Instruct

Q4_K_M · ~9 tok/s

49.3 GB · up to 32K

Mac 128 GB

Mac Studio M4 Max · Macs

Qwen2.5 72B Instruct

Q4_K_M · ~9 tok/s

49.3 GB · up to 32K

Qwen2 72B Instruct

Q4_K_M · ~9 tok/s

49.3 GB · up to 32K

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

Overall

Qwen2.5 72B Instruct

82.278–87

Qwen2 72B Instruct

77.571–84

Reasoning

Qwen2.5 72B Instruct

88.079–97

Qwen2 72B Instruct

no data

Qwen2.5 72B Instruct · #84 of 106 open models · #30 of 51 that fit ≤64 GB

Qwen2 72B Instruct · #94 of 106 open models · #40 of 51 that fit ≤64 GB

Benchmarks

4 shared boards: Qwen2.5 72B Instruct leads 4, Qwen2 72B Instruct leads 0 · Benchmarks imported Nov 2026

Qwen2.5 72B Instruct

49.1%#56/100 open

IndependentEpoch AI · Sep 2024

Qwen2 72B Instruct

40.8%#71/100 open

IndependentEpoch AI · Jun 2024

Qwen2.5 72B Instruct

71.6%#35/146 open

IndependentTIGER-Lab

Qwen2 72B Instruct

64.4%#49/146 open

IndependentTIGER-Lab

Qwen2.5 72B Instruct

63.2%#11/39 open

IndependentEpoch AI · Sep 2024

Qwen2 72B Instruct

39.1%#22/39 open

IndependentEpoch AI · Jun 2024

Qwen2.5 72B Instruct

16.0%#42/47 open

IndependentEpoch AI · Sep 2024

Qwen2 72B Instruct

11.3%#44/47 open

IndependentEpoch AI · Jun 2024

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

Qwen2.5 72B Instruct

1302.9#107/188 open

ArenaLMArena · Oct 2026

Qwen2 72B Instruct

1261.9#127/188 open

ArenaLMArena · Oct 2026

Qwen2.5 72B Instruct

85.3%#3/85 open

Lab-reportedEpoch AI · Sep 2024

Qwen2 72B Instruct

82.4%#8/85 open

Lab-reportedEpoch AI · Jun 2024

Qwen2.5 72B Instruct

35.8%#7/9 open

Lab-reportedEpoch AI · Sep 2024

Qwen2 72B Instruct

29.9%#8/9 open

Lab-reportedEpoch AI · Jun 2024

Only Qwen2.5 72B Instruct (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.

Q2_K

Qwen2.5 72B Instruct

31.9 GB29.8 GB file

32K 41.9 GB · 128K —

Qwen2 72B Instruct

31.9 GB29.8 GB file

32K 41.9 GB · 128K —

Q3_K_S

Qwen2.5 72B Instruct

32.8 GB34.5 GB file

32K 42.9 GB · 128K —

Qwen2 72B Instruct

32.8 GB34.5 GB file

32K 42.9 GB · 128K —

Q3_K_M

Qwen2.5 72B Instruct

36.4 GB37.7 GB file

32K 46.5 GB · 128K —

Qwen2 72B Instruct

36.4 GB37.7 GB file

32K 46.5 GB · 128K —

Q4_0

Qwen2.5 72B Instruct

37.3 GB41.4 GB file

32K 47.4 GB · 128K —

Qwen2 72B Instruct

37.3 GB41.2 GB file

32K 47.4 GB · 128K —

Q4_K_M

Qwen2.5 72B Instruct

44.6 GB47.4 GB file

32K 54.7 GB · 128K —

Qwen2 72B Instruct

44.6 GB47.4 GB file

32K 54.7 GB · 128K —

Q5_K_M

Qwen2.5 72B Instruct

52.8 GB54.4 GB file

32K 62.8 GB · 128K —

Qwen2 72B Instruct

52.8 GB54.4 GB file

32K 62.8 GB · 128K —

Q6_K

Qwen2.5 72B Instruct

61.0 GB64.3 GB file

32K 71.0 GB · 128K —

Qwen2 72B Instruct

61.0 GB64.3 GB file

32K 71.0 GB · 128K —

Q8_0

Qwen2.5 72B Instruct

73.7 GB77.3 GB file

32K 83.8 GB · 128K —

Qwen2 72B Instruct

73.7 GB77.3 GB file

32K 83.8 GB · 128K —

17 more quants

IQ2_XXS

Qwen2.5 72B Instruct

21.0 GB25.5 GB file

32K 31.0 GB · 128K —

Qwen2 72B Instruct

21.0 GB25.5 GB file

32K 31.0 GB · 128K —

IQ2_XS

Qwen2.5 72B Instruct

22.8 GB27.1 GB file

32K 32.9 GB · 128K —

Qwen2 72B Instruct

22.8 GB27.1 GB file

32K 32.9 GB · 128K —

IQ2_S

Qwen2.5 72B Instruct

23.7 GB27.9 GB file

32K 33.8 GB · 128K —

Qwen2 72B Instruct

23.7 GB27.9 GB file

32K 33.8 GB · 128K —

IQ2_M

Qwen2.5 72B Instruct

25.5 GB29.3 GB file

32K 35.6 GB · 128K —

Qwen2 72B Instruct

25.5 GB29.3 GB file

32K 35.6 GB · 128K —

IQ3_XXS

Qwen2.5 72B Instruct

29.1 GB31.8 GB file

32K 39.2 GB · 128K —

Qwen2 72B Instruct

29.1 GB31.8 GB file

32K 39.2 GB · 128K —

Q2_K_S

Qwen2.5 72B Instruct

30.1 GB29.6 GB file

32K 40.1 GB · 128K —

Qwen2 72B Instruct

not listed

IQ3_XS

Qwen2.5 72B Instruct

31.0 GB32.8 GB file

32K 41.0 GB · 128K —

Qwen2 72B Instruct

31.0 GB32.8 GB file

32K 41.0 GB · 128K —

IQ3_S

Qwen2.5 72B Instruct

31.9 GB34.5 GB file

32K 41.9 GB · 128K —

Qwen2 72B Instruct

31.9 GB34.5 GB file

32K 41.9 GB · 128K —

IQ3_M

Qwen2.5 72B Instruct

33.7 GB35.5 GB file

32K 43.8 GB · 128K —

Qwen2 72B Instruct

33.7 GB35.5 GB file

32K 43.8 GB · 128K —

Q3_K_L

Qwen2.5 72B Instruct

38.2 GB39.5 GB file

32K 48.3 GB · 128K —

Qwen2 72B Instruct

38.2 GB39.5 GB file

32K 48.3 GB · 128K —

IQ4_XS

Qwen2.5 72B Instruct

40.1 GB39.7 GB file

32K 50.1 GB · 128K —

Qwen2 72B Instruct

40.1 GB39.7 GB file

32K 50.1 GB · 128K —

IQ4_NL

Qwen2.5 72B Instruct

41.9 GB41.3 GB file

32K 51.9 GB · 128K —

Qwen2 72B Instruct

not listed

Q4_1

Qwen2.5 72B Instruct

41.9 GB45.7 GB file

32K 51.9 GB · 128K —

Qwen2 72B Instruct

not listed

Q4_K_S

Qwen2.5 72B Instruct

41.9 GB43.9 GB file

32K 51.9 GB · 128K —

Qwen2 72B Instruct

41.9 GB43.9 GB file

32K 51.9 GB · 128K —

Q5_0

Qwen2.5 72B Instruct

46.4 GB50.3 GB file

32K 56.5 GB · 128K —

Qwen2 72B Instruct

46.4 GB50.2 GB file

32K 56.5 GB · 128K —

Q5_K_S

Qwen2.5 72B Instruct

51.0 GB51.4 GB file

32K 61.0 GB · 128K —

Qwen2 72B Instruct

51.0 GB51.4 GB file

32K 61.0 GB · 128K —

BF16

Qwen2.5 72B Instruct

146 GB~145.4 GB file

32K 156 GB · 128K —

Qwen2 72B Instruct

146 GB~145.4 GB file

32K 156 GB · 128K —

How to run each

Specifications

Specifications of Qwen2.5 72B Instruct and Qwen2 72B Instruct
SpecQwen2.5 72B InstructQwen2 72B Instruct
PublisherAlibabaAlibaba
Parameters72.7B72.7B
ArchitectureQwen2ForCausalLMQwen2ForCausalLM
Context32K tokens32K tokens
ModalitiesChat, Function-callingChat
LicenseOtherOther
ReleasedSep 2024May 2024

Frequently Asked Questions

Which is better, Qwen2.5 72B Instruct or Qwen2 72B Instruct?

Qwen2.5 72B Instruct leads llmrun Score 82.2 to 77.5 (ranges overlap); neither fits 24 GB. Choose Qwen2.5 72B Instruct for higher llmrun Score and ahead on the benchmarks.

Which needs less VRAM, Qwen2.5 72B Instruct or Qwen2 72B Instruct?

At Q4_K_M, Qwen2.5 72B Instruct requires 44.6 GB while Qwen2 72B Instruct needs 44.6 GB, making Qwen2.5 72B Instruct the easier model to run on your local setup.

Can I run Qwen2.5 72B Instruct or Qwen2 72B Instruct on a 16 GB GPU?

Qwen2.5 72B Instruct does not fit (smallest quant needs 25.7 GB); Qwen2 72B Instruct does not fit (smallest quant needs 25.7 GB).

Which has a longer context window, Qwen2.5 72B Instruct or Qwen2 72B Instruct?

Qwen2.5 72B Instruct supports 32,768 tokens and Qwen2 72B Instruct supports 32,768 tokens.

Qwen2.5 72B Instruct vs Qwen2 72B Instruct — VRAM & GPU Comparison | llmrun