C4ai Command A 03 2025 vs Llama 4 Scout 17B 16E Instruct
Llama 4 Scout 17B 16E Instruct leads llmrun Score 81.8 to 79.8 (ranges overlap); neither fits 24 GB.
Model B · Meta
Llama 4 Scout 17B 16E Instruct108.6B · 17B active · Other · Apr 2025
Choose C4ai Command A 03 2025 if you want…
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
81.8 vs 79.8, ranges overlap
Also does vision
C4ai Command A 03 2025 doesn't list it
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
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
12 GB
RTX 3060 12GB · 12 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 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
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
24 GBreference
RTX 4090 · 24 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
32 GB
RTX 5090 · 32 GB tier
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
48 GB
RTX A6000 · 48 GB tier
C4ai Command A 03 2025
IQ2_M · ~12 tok/s
46.6 GB · up to 16K
Llama 4 Scout 17B 16E Instruct
IQ2_M · ~65 tok/s
45.7 GB · up to 16Kfaster
Mac 32 GB
Mac Mini M4 · Macs
C4ai Command A 03 2025
Doesn't fit
smallest quant needs 39 GB
Llama 4 Scout 17B 16E Instruct
Doesn't fit
smallest quant needs 38.2 GB
Mac 64 GB
Mac Studio M4 Max · Macs
C4ai Command A 03 2025
IQ3_M · ~7 tok/s
60.3 GB · up to 16K
Llama 4 Scout 17B 16E Instruct
IQ3_M · ~32 tok/s
59.1 GB · up to 16Kfaster
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
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).
Overall
C4ai Command A 03 2025
Llama 4 Scout 17B 16E Instruct
Science
C4ai Command A 03 2025
no data
Llama 4 Scout 17B 16E Instruct
Reasoning
C4ai Command A 03 2025
Llama 4 Scout 17B 16E Instruct
C4ai Command A 03 2025 · #83 of 100 open models · #44 of 60 that fit ≤96 GB
Llama 4 Scout 17B 16E Instruct · #79 of 100 open models · #40 of 60 that fit ≤96 GB
Benchmarks
2 shared boards: C4ai Command A 03 2025 leads 1, Llama 4 Scout 17B 16E Instruct leads 1 · Benchmarks imported Oct 2026
C4ai Command A 03 2025
61.3%#43/68 open
Lab-reportedEpoch AI · Mar 2025
Llama 4 Scout 17B 16E Instruct
57.9%#53/68 open
Lab-reportedEpoch AI · Apr 2025
C4ai Command A 03 2025
10.3%#47/54 open
Lab-reportedEpoch AI · Mar 2025
Llama 4 Scout 17B 16E Instruct
12.0%#46/54 open
Lab-reportedEpoch AI · Apr 2025
12 more boards (other shared and single-model boards)
C4ai Command A 03 2025
1353.7#73/187 open
ArenaLMArena · Oct 2026
Llama 4 Scout 17B 16E Instruct
1321.5#94/187 open
ArenaLMArena · Oct 2026
Only C4ai Command A 03 2025 (1)
- Aider Polyglot12.0%
Only Llama 4 Scout 17B 16E Instruct (10)
- GPQA Diamond51.8%
- AIME 2024/20257.8%
- ARC-AGI-20.0%
- MMLU-Pro74.3%
- SciCode17.0%
- ARC-AGI0.5%
- MATH Level 562.3%
- CritPt0.0%
- Fiction.LiveBench36.0%
- ForecastBench57.5
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
C4ai Command A 03 2025
51.9 GB42.1 GB file
32K 63.4 GB · 128K 100 GB
Llama 4 Scout 17B 16E Instruct
50.8 GB39.6 GB file
32K 62.2 GB · 128K 98.7 GB
Q3_K_S
C4ai Command A 03 2025
53.5 GB49.0 GB file
32K 64.9 GB · 128K 102 GB
Llama 4 Scout 17B 16E Instruct
52.3 GB46.7 GB file
32K 63.7 GB · 128K 100 GB
Q3_K_M
C4ai Command A 03 2025
59.6 GB54.4 GB file
32K 71.0 GB · 128K 108 GB
Llama 4 Scout 17B 16E Instruct
58.3 GB51.8 GB file
32K 69.7 GB · 128K 106 GB
Q4_0
C4ai Command A 03 2025
61.1 GB63.5 GB file
32K 72.6 GB · 128K 109 GB
Llama 4 Scout 17B 16E Instruct
59.8 GB61.2 GB file
32K 71.2 GB · 128K 108 GB
Q4_K_M
C4ai Command A 03 2025
73.3 GB67.1 GB file
32K 84.8 GB · 128K 122 GB
Llama 4 Scout 17B 16E Instruct
71.7 GB65.4 GB file
32K 83.1 GB · 128K 120 GB
Q5_K_M
C4ai Command A 03 2025
87.0 GB78.8 GB file
32K 98.5 GB · 128K 135 GB
Llama 4 Scout 17B 16E Instruct
85.2 GB76.5 GB file
32K 96.6 GB · 128K 133 GB
Q6_K
C4ai Command A 03 2025
101 GB91.1 GB file
32K 112 GB · 128K 149 GB
Llama 4 Scout 17B 16E Instruct
98.6 GB88.4 GB file
32K 110 GB · 128K 147 GB
Q8_0
C4ai Command A 03 2025
122 GB118.0 GB file
32K 134 GB · 128K 170 GB
Llama 4 Scout 17B 16E Instruct
120 GB114.5 GB file
32K 131 GB · 128K 167 GB
17 more quants
IQ2_XXS
C4ai Command A 03 2025
33.6 GB30.5 GB file
32K 45.1 GB · 128K 81.8 GB
Llama 4 Scout 17B 16E Instruct
32.9 GB37.4 GB file
32K 44.3 GB · 128K 80.8 GB
IQ2_XS
C4ai Command A 03 2025
36.7 GB33.7 GB file
32K 48.1 GB · 128K 84.9 GB
Llama 4 Scout 17B 16E Instruct
35.9 GB31.8 GB file
32K 47.3 GB · 128K 83.8 GB
IQ2_S
C4ai Command A 03 2025
38.2 GB35.5 GB file
32K 49.7 GB · 128K 86.4 GB
Llama 4 Scout 17B 16E Instruct
37.4 GB32.3 GB file
32K 48.8 GB · 128K 85.3 GB
IQ2_M
C4ai Command A 03 2025
41.2 GB38.4 GB file
32K 52.7 GB · 128K 89.5 GB
Llama 4 Scout 17B 16E Instruct
40.3 GB39.1 GB file
32K 51.8 GB · 128K 88.3 GB
IQ3_XXS
C4ai Command A 03 2025
47.3 GB43.4 GB file
32K 58.8 GB · 128K 95.6 GB
Llama 4 Scout 17B 16E Instruct
46.3 GB45.7 GB file
32K 57.7 GB · 128K 94.3 GB
Q2_K_S
C4ai Command A 03 2025
48.9 GB39.0 GB file
32K 60.4 GB · 128K 97.1 GB
Llama 4 Scout 17B 16E Instruct
47.8 GB37.0 GB file
32K 59.2 GB · 128K 95.8 GB
IQ3_XS
C4ai Command A 03 2025
50.4 GB46.5 GB file
32K 61.9 GB · 128K 98.6 GB
Llama 4 Scout 17B 16E Instruct
49.3 GB44.3 GB file
32K 60.7 GB · 128K 97.3 GB
IQ3_S
C4ai Command A 03 2025
51.9 GB49.1 GB file
32K 63.4 GB · 128K 100 GB
Llama 4 Scout 17B 16E Instruct
50.8 GB46.8 GB file
32K 62.2 GB · 128K 98.7 GB
IQ3_M
C4ai Command A 03 2025
55.0 GB50.8 GB file
32K 66.5 GB · 128K 103 GB
Llama 4 Scout 17B 16E Instruct
53.8 GB47.5 GB file
32K 65.2 GB · 128K 102 GB
Q3_K_L
C4ai Command A 03 2025
62.6 GB59.1 GB file
32K 74.1 GB · 128K 111 GB
Llama 4 Scout 17B 16E Instruct
61.3 GB57.8 GB file
32K 72.7 GB · 128K 109 GB
IQ4_XS
C4ai Command A 03 2025
65.7 GB60.0 GB file
32K 77.2 GB · 128K 114 GB
Llama 4 Scout 17B 16E Instruct
64.2 GB57.7 GB file
32K 75.7 GB · 128K 112 GB
IQ4_NL
C4ai Command A 03 2025
68.7 GB63.4 GB file
32K 80.2 GB · 128K 117 GB
Llama 4 Scout 17B 16E Instruct
67.2 GB60.9 GB file
32K 78.6 GB · 128K 115 GB
Q4_1
C4ai Command A 03 2025
68.7 GB70.0 GB file
32K 80.2 GB · 128K 117 GB
Llama 4 Scout 17B 16E Instruct
67.2 GB67.6 GB file
32K 78.6 GB · 128K 115 GB
Q4_K_S
C4ai Command A 03 2025
68.7 GB63.8 GB file
32K 80.2 GB · 128K 117 GB
Llama 4 Scout 17B 16E Instruct
67.2 GB61.5 GB file
32K 78.6 GB · 128K 115 GB
Q4_K_L
C4ai Command A 03 2025
74.8 GB67.9 GB file
32K 86.3 GB · 128K 123 GB
Llama 4 Scout 17B 16E Instruct
not listed
Q5_K_S
C4ai Command A 03 2025
84.0 GB76.8 GB file
32K 95.5 GB · 128K 132 GB
Llama 4 Scout 17B 16E Instruct
82.2 GB74.3 GB file
32K 93.6 GB · 128K 130 GB
BF16
C4ai Command A 03 2025
244 GB222.1 GB file
32K 256 GB · 128K 293 GB
Llama 4 Scout 17B 16E Instruct
239 GB215.6 GB file
32K 250 GB · 128K 287 GB
C4ai Command A 03 2025
Ollama · Q4_K_M
ollama run hf.co/bartowski/CohereForAI_c4ai-command-a-03-2025-GGUF:Q4_K_MLlama 4 Scout 17B 16E Instruct
Ollama · Q4_K_M
ollama run hf.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF:Q4_K_M| Spec | C4ai Command A 03 2025 | Llama 4 Scout 17B 16E Instruct |
|---|---|---|
| Publisher | Cohere | Meta |
| Parameters | 111.1B | 108.6B |
| Active parameters | — | 17B per token |
| Modalities | Chat, Function-calling | Vision |
| License | CC BY-NC 4.0 | Other |
| Released | Mar 2025 | Apr 2025 |
Frequently Asked Questions
Which is better, C4ai Command A 03 2025 or Llama 4 Scout 17B 16E Instruct?
Llama 4 Scout 17B 16E Instruct leads llmrun Score 81.8 to 79.8 (ranges overlap); neither fits 24 GB. Choose C4ai Command A 03 2025 for also does chat, function-calling; choose Llama 4 Scout 17B 16E Instruct for higher llmrun Score and also does vision.
Which needs less VRAM, C4ai Command A 03 2025 or Llama 4 Scout 17B 16E Instruct?
At Q4_K_M, C4ai Command A 03 2025 requires 73.3 GB while Llama 4 Scout 17B 16E Instruct needs 71.7 GB, making Llama 4 Scout 17B 16E Instruct the easier model to run on your local setup.
Can I run C4ai Command A 03 2025 or Llama 4 Scout 17B 16E Instruct on a 16 GB GPU?
C4ai Command A 03 2025 does not fit (smallest quant needs 39 GB); Llama 4 Scout 17B 16E Instruct does not fit (smallest quant needs 38.2 GB).