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 →
Model A · Alibaba
Qwen2.5 72B Instruct72.7B · 32K context · Other · Sep 2024
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).
Overall
Qwen2.5 72B Instruct
Qwen2 72B Instruct
Reasoning
Qwen2.5 72B Instruct
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)
- AIME 2024/20258.1%
- BALROG16.2%
- DTBench62.9%
- ForecastBench61.6
- LMCA13.4%
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 —
Qwen2.5 72B Instruct
Ollama · Q4_K_M
ollama run hf.co/bartowski/Qwen2.5-72B-Instruct-GGUF:Q4_K_MQwen2 72B Instruct
Ollama · Q4_K_M
ollama run hf.co/second-state/Qwen2-72B-Instruct-GGUF:Q4_K_M| Spec | Qwen2.5 72B Instruct | Qwen2 72B Instruct |
|---|---|---|
| Publisher | Alibaba | Alibaba |
| Parameters | 72.7B | 72.7B |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| Context | 32K tokens | 32K tokens |
| Modalities | Chat, Function-calling | Chat |
| License | Other | Other |
| Released | Sep 2024 | May 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.