C4ai Command A 03 2025 vs Qwen2.5 72B Instruct
C4ai Command A 03 2025 and Qwen2.5 72B Instruct match in llmrun Score, with values of 79.8 versus 81.7; neither fits 24 GB.
Model B · Alibaba
Qwen2.5 72B Instruct72.7B · 32K context · Other · Sep 2024
Choose C4ai Command A 03 2025 if you want…
Newer release
Mar 2025 vs Sep 2024
Choose Qwen2.5 72B Instruct if you want…
Fits a 48 GB GPU
Q4_K_M · 49.3 GB; C4ai Command A 03 2025 needs 39 GB at its smallest quant
Lighter on memory
44.6 vs 73.3 GB at Q4_K_M
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
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Qwen2.5 72B Instruct
Doesn't fit
smallest quant needs 25.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Qwen2.5 72B Instruct
Doesn't fit
smallest quant needs 25.7 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Qwen2.5 72B Instruct
Doesn't fit
smallest quant needs 25.7 GB
24 GBreference
RTX 4090 · 24 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Qwen2.5 72B Instruct
Doesn't fit
smallest quant needs 25.7 GB
32 GB
RTX 5090 · 32 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Qwen2.5 72B Instruct
IQ2_M · ~46 tok/s
30.2 GB · up to 16Kfits
48 GB
RTX A6000 · 48 GB tier
C4ai Command A 03 2025
IQ2_M · ~12 tok/s
46.6 GB · up to 16Kmore headroom
Qwen2.5 72B Instruct
Q4_K_M · ~11 tok/stight
49.3 GB · up to 8K
Mac 32 GB
Mac Mini M4 · Macs
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Qwen2.5 72B Instruct
IQ2_S · ~4 tok/s
28.4 GB · up to 16Kfits
Mac 64 GB
Mac Studio M4 Max · Macs
C4ai Command A 03 2025
IQ3_M · ~7 tok/s
60.3 GB · up to 16K
Qwen2.5 72B Instruct
Q4_K_M · ~9 tok/s
49.3 GB · up to 32Kmore headroom
Mac 128 GB
Mac Studio M4 Max · Macs
C4ai Command A 03 2025
Q4_K_M · ~5 tok/s
78.7 GB · up to 32K
Qwen2.5 72B Instruct
Q4_K_M · ~9 tok/s
49.3 GB · up to 32Kfaster
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
C4ai Command A 03 2025
Qwen2.5 72B Instruct
Reasoning
C4ai Command A 03 2025
Qwen2.5 72B Instruct
C4ai Command A 03 2025 · #83 of 100 open models · #44 of 60 that fit ≤96 GB
Qwen2.5 72B Instruct · #80 of 100 open models · #30 of 49 that fit ≤64 GB
Benchmarks
2 shared boards: C4ai Command A 03 2025 leads 0, Qwen2.5 72B Instruct leads 2 · Benchmarks imported Oct 2026
11 more boards (other shared and single-model boards)
C4ai Command A 03 2025
1353.7#73/187 open
ArenaLMArena · Oct 2026
Qwen2.5 72B Instruct
1302.9#106/187 open
ArenaLMArena · Oct 2026
Only C4ai Command A 03 2025 (1)
- Aider Polyglot12.0%
Only Qwen2.5 72B Instruct (9)
- GPQA Diamond49.1%
- AIME 2024/20258.1%
- MMLU-Pro71.6%
- MATH Level 563.2%
- MMLU85.3%
- WeirdML16.0%
- BALROG16.2%
- ForecastBench57.5
- METR Time Horizons35.8%
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
C4ai Command A 03 2025
51.9 GB42.1 GB file
32K 63.4 GB · 128K 100 GB
Qwen2.5 72B Instruct
31.9 GB29.8 GB file
32K 41.9 GB · 128K —
Q3_K_S
C4ai Command A 03 2025
53.5 GB49.0 GB file
32K 64.9 GB · 128K 102 GB
Qwen2.5 72B Instruct
32.8 GB34.5 GB file
32K 42.9 GB · 128K —
Q3_K_M
C4ai Command A 03 2025
59.6 GB54.4 GB file
32K 71.0 GB · 128K 108 GB
Qwen2.5 72B Instruct
36.4 GB37.7 GB file
32K 46.5 GB · 128K —
Q4_0
C4ai Command A 03 2025
61.1 GB63.5 GB file
32K 72.6 GB · 128K 109 GB
Qwen2.5 72B Instruct
37.3 GB41.4 GB file
32K 47.4 GB · 128K —
Q4_K_M
C4ai Command A 03 2025
73.3 GB67.1 GB file
32K 84.8 GB · 128K 122 GB
Qwen2.5 72B Instruct
44.6 GB47.4 GB file
32K 54.7 GB · 128K —
Q5_K_M
C4ai Command A 03 2025
87.0 GB78.8 GB file
32K 98.5 GB · 128K 135 GB
Qwen2.5 72B Instruct
52.8 GB54.4 GB file
32K 62.8 GB · 128K —
Q6_K
C4ai Command A 03 2025
101 GB91.1 GB file
32K 112 GB · 128K 149 GB
Qwen2.5 72B Instruct
61.0 GB64.3 GB file
32K 71.0 GB · 128K —
Q8_0
C4ai Command A 03 2025
122 GB118.0 GB file
32K 134 GB · 128K 170 GB
Qwen2.5 72B Instruct
73.7 GB77.3 GB file
32K 83.8 GB · 128K —
18 more quants
IQ2_XXS
C4ai Command A 03 2025
33.6 GB30.5 GB file
32K 45.1 GB · 128K 81.8 GB
Qwen2.5 72B Instruct
21.0 GB25.5 GB file
32K 31.0 GB · 128K —
IQ2_XS
C4ai Command A 03 2025
36.7 GB33.7 GB file
32K 48.1 GB · 128K 84.9 GB
Qwen2.5 72B Instruct
22.8 GB27.1 GB file
32K 32.9 GB · 128K —
IQ2_S
C4ai Command A 03 2025
38.2 GB35.5 GB file
32K 49.7 GB · 128K 86.4 GB
Qwen2.5 72B Instruct
23.7 GB27.9 GB file
32K 33.8 GB · 128K —
IQ2_M
C4ai Command A 03 2025
41.2 GB38.4 GB file
32K 52.7 GB · 128K 89.5 GB
Qwen2.5 72B Instruct
25.5 GB29.3 GB file
32K 35.6 GB · 128K —
IQ3_XXS
C4ai Command A 03 2025
47.3 GB43.4 GB file
32K 58.8 GB · 128K 95.6 GB
Qwen2.5 72B Instruct
29.1 GB31.8 GB file
32K 39.2 GB · 128K —
Q2_K_S
C4ai Command A 03 2025
48.9 GB39.0 GB file
32K 60.4 GB · 128K 97.1 GB
Qwen2.5 72B Instruct
30.1 GB29.6 GB file
32K 40.1 GB · 128K —
IQ3_XS
C4ai Command A 03 2025
50.4 GB46.5 GB file
32K 61.9 GB · 128K 98.6 GB
Qwen2.5 72B Instruct
31.0 GB32.8 GB file
32K 41.0 GB · 128K —
IQ3_S
C4ai Command A 03 2025
51.9 GB49.1 GB file
32K 63.4 GB · 128K 100 GB
Qwen2.5 72B Instruct
31.9 GB34.5 GB file
32K 41.9 GB · 128K —
IQ3_M
C4ai Command A 03 2025
55.0 GB50.8 GB file
32K 66.5 GB · 128K 103 GB
Qwen2.5 72B Instruct
33.7 GB35.5 GB file
32K 43.8 GB · 128K —
Q3_K_L
C4ai Command A 03 2025
62.6 GB59.1 GB file
32K 74.1 GB · 128K 111 GB
Qwen2.5 72B Instruct
38.2 GB39.5 GB file
32K 48.3 GB · 128K —
IQ4_XS
C4ai Command A 03 2025
65.7 GB60.0 GB file
32K 77.2 GB · 128K 114 GB
Qwen2.5 72B Instruct
40.1 GB39.7 GB file
32K 50.1 GB · 128K —
IQ4_NL
C4ai Command A 03 2025
68.7 GB63.4 GB file
32K 80.2 GB · 128K 117 GB
Qwen2.5 72B Instruct
41.9 GB41.3 GB file
32K 51.9 GB · 128K —
Q4_1
C4ai Command A 03 2025
68.7 GB70.0 GB file
32K 80.2 GB · 128K 117 GB
Qwen2.5 72B Instruct
41.9 GB45.7 GB file
32K 51.9 GB · 128K —
Q4_K_S
C4ai Command A 03 2025
68.7 GB63.8 GB file
32K 80.2 GB · 128K 117 GB
Qwen2.5 72B Instruct
41.9 GB43.9 GB file
32K 51.9 GB · 128K —
Q4_K_L
C4ai Command A 03 2025
74.8 GB67.9 GB file
32K 86.3 GB · 128K 123 GB
Qwen2.5 72B Instruct
not listed
Q5_0
C4ai Command A 03 2025
not listed
Qwen2.5 72B Instruct
46.4 GB50.3 GB file
32K 56.5 GB · 128K —
Q5_K_S
C4ai Command A 03 2025
84.0 GB76.8 GB file
32K 95.5 GB · 128K 132 GB
Qwen2.5 72B Instruct
51.0 GB51.4 GB file
32K 61.0 GB · 128K —
BF16
C4ai Command A 03 2025
244 GB222.1 GB file
32K 256 GB · 128K 293 GB
Qwen2.5 72B Instruct
146 GB~145.4 GB file
32K 156 GB · 128K —
C4ai Command A 03 2025
Ollama · Q4_K_M
ollama run hf.co/bartowski/CohereForAI_c4ai-command-a-03-2025-GGUF:Q4_K_MQwen2.5 72B Instruct
Ollama · Q4_K_M
ollama run hf.co/bartowski/Qwen2.5-72B-Instruct-GGUF:Q4_K_M| Spec | C4ai Command A 03 2025 | Qwen2.5 72B Instruct |
|---|---|---|
| Publisher | Cohere | Alibaba |
| Parameters | 111.1B | 72.7B |
| Architecture | — | Qwen2ForCausalLM |
| Context | — | 32K tokens |
| Modalities | Chat, Function-calling | Chat, Function-calling |
| License | CC BY-NC 4.0 | Other |
| Released | Mar 2025 | Sep 2024 |
Frequently Asked Questions
Which is better, C4ai Command A 03 2025 or Qwen2.5 72B Instruct?
C4ai Command A 03 2025 and Qwen2.5 72B Instruct match in llmrun Score, with values of 79.8 versus 81.7; neither fits 24 GB. Choose C4ai Command A 03 2025 for newer release; choose Qwen2.5 72B Instruct for fits a 48 GB GPU and lighter on memory.
Which needs less VRAM, C4ai Command A 03 2025 or Qwen2.5 72B Instruct?
At Q4_K_M, C4ai Command A 03 2025 requires 73.3 GB while Qwen2.5 72B Instruct needs 44.6 GB, making Qwen2.5 72B Instruct the easier model to run on your local setup.
Can I run C4ai Command A 03 2025 or Qwen2.5 72B Instruct on a 16 GB GPU?
C4ai Command A 03 2025 does not fit (smallest quant needs 39 GB); Qwen2.5 72B Instruct does not fit (smallest quant needs 25.7 GB).