C4ai Command A 03 2025 vs Qwen3.8 27B

Qwen3.8 27B leads llmrun Score 122.1 to 79.8; only Qwen3.8 27B fits 24 GB (Q4_K_M); C4ai Command A 03 2025 needs 39 GB even at its smallest quant.

Model A · Cohere

C4ai Command A 03 2025

79.8llmrun Score

111.1B · CC BY-NC 4.0 · Mar 2025

ChatFunctions

Model B · Alibaba

Qwen3.8 27B

122.1llmrun Score

27.8B · 256K context · Apache 2.0 · Aug 2026

VisionFunctions

Which should you choose?

Choose C4ai Command A 03 2025 if you want…

Also does chat
Qwen3.8 27B doesn't list it

Choose Qwen3.8 27B if you want…

Higher llmrun Score
122.1 vs 79.8
Stronger at reasoning
124.0 vs 83.4
Fits a 12 GB GPU
IQ3_XXS · 12 GB; C4ai Command A 03 2025 needs 39 GB at its smallest quant
Fits a Mac 32 GB
Q4_K_M · 17.9 GB; C4ai Command A 03 2025 needs 39 GB at its smallest quant
Lighter on memory
17.4 vs 73.3 GB at Q4_K_M
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%.

MemoryC4ai Command A 03 2025Qwen3.8 27B

8 GB

RTX 4060 · 8 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3.8 27B

Doesn't fit

smallest quant needs 8.8 GB

12 GB

RTX 3060 12GB · 12 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3.8 27B

IQ3_XXS · ~20 tok/s

12 GB · up to 16Kfits

16 GB

RTX 5060 Ti 16GB · 16 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3.8 27B

Q3_K_L · ~19 tok/s

15.4 GB · up to 16Kfits

24 GBreference

RTX 4090 · 24 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3.8 27B

Q4_K_M · ~38 tok/s

17.9 GB · up to 64Kfits

32 GB

RTX 5090 · 32 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3.8 27B

Q4_K_M · ~67 tok/s

17.9 GB · up to 256Kfits

48 GB

RTX A6000 · 48 GB tier

C4ai Command A 03 2025

IQ2_M · ~12 tok/s

46.6 GB · up to 16K

Qwen3.8 27B

Q4_K_M · ~29 tok/s

17.9 GB · up to 256Kmore headroom

Mac 32 GB

Mac Mini M4 · Macs

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3.8 27B

Q4_K_M · ~5 tok/s

17.9 GB · up to 128Kfits

Mac 64 GB

Mac Studio M4 Max · Macs

C4ai Command A 03 2025

IQ3_M · ~7 tok/s

60.3 GB · up to 16K

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kmore 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

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kfaster

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

C4ai Command A 03 2025 Qwen3.8 27B

Overall

C4ai Command A 03 2025

79.873–87

Qwen3.8 27B

122.1120–124

Coding

C4ai Command A 03 2025

no data

Qwen3.8 27B

119.7114–125

Agents

C4ai Command A 03 2025

no data

Qwen3.8 27B

122.8117–129

Math

C4ai Command A 03 2025

no data

Qwen3.8 27B

117.5111–124

Science

C4ai Command A 03 2025

no data

Qwen3.8 27B

112.093–131

Reasoning

C4ai Command A 03 2025

83.474–93

Qwen3.8 27B

124.0121–127

C4ai Command A 03 2025 · #83 of 100 open models · #44 of 60 that fit ≤96 GB

Qwen3.8 27B · #11 of 100 open models · #1 of 35 that fit 24 GB

Benchmarks

2 shared boards: C4ai Command A 03 2025 leads 0, Qwen3.8 27B leads 2 · Benchmarks imported Oct 2026

BoardC4ai Command A 03 2025Qwen3.8 27B

DTBench

C4ai Command A 03 2025

61.3%#43/68 open

Lab-reportedEpoch AI · Mar 2025

Qwen3.8 27B

88.0%#9/68 open

Lab-reportedEpoch AI · Aug 2026

LMCA

C4ai Command A 03 2025

10.3%#47/54 open

Lab-reportedEpoch AI · Mar 2025

Qwen3.8 27B

41.4%#7/54 open

Lab-reportedEpoch AI · Aug 2026

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

LMArena Text

C4ai Command A 03 2025

1353.7#73/187 open

ArenaLMArena · Oct 2026

Qwen3.8 27B

1437.8#22/187 open

ArenaLMArena · Oct 2026

Only C4ai Command A 03 2025 (1)

Aider Polyglot12.0%

Only Qwen3.8 27B (18)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

QuantC4ai Command A 03 2025Qwen3.8 27B

Q2_K

C4ai Command A 03 2025

51.9 GB42.1 GB file

32K 63.4 GB · 128K 100 GB

Qwen3.8 27B

12.6 GB10.8 GB file

32K 13.9 GB · 128K 19.3 GB

Q3_K_S

C4ai Command A 03 2025

53.5 GB49.0 GB file

32K 64.9 GB · 128K 102 GB

Qwen3.8 27B

12.9 GB12.7 GB file

32K 14.2 GB · 128K 19.6 GB

Q3_K_M

C4ai Command A 03 2025

59.6 GB54.4 GB file

32K 71.0 GB · 128K 108 GB

Qwen3.8 27B

14.3 GB13.4 GB file

32K 15.6 GB · 128K 21.0 GB

Q4_0

C4ai Command A 03 2025

61.1 GB63.5 GB file

32K 72.6 GB · 128K 109 GB

Qwen3.8 27B

14.6 GB~13.9 GB file

32K 16.0 GB · 128K 21.4 GB

Q4_K_M

C4ai Command A 03 2025

73.3 GB67.1 GB file

32K 84.8 GB · 128K 122 GB

Qwen3.8 27B

17.4 GB16.5 GB file

32K 18.8 GB · 128K 24.1 GB

Q5_K_M

C4ai Command A 03 2025

87.0 GB78.8 GB file

32K 98.5 GB · 128K 135 GB

Qwen3.8 27B

20.5 GB19.8 GB file

32K 21.9 GB · 128K 27.3 GB

Q6_K

C4ai Command A 03 2025

101 GB91.1 GB file

32K 112 GB · 128K 149 GB

Qwen3.8 27B

23.7 GB22.0 GB file

32K 25.0 GB · 128K 30.4 GB

Q8_0

C4ai Command A 03 2025

122 GB118.0 GB file

32K 134 GB · 128K 170 GB

Qwen3.8 27B

28.5 GB29.0 GB file

32K 29.9 GB · 128K 35.2 GB

18 more quants

IQ2_XXS

C4ai Command A 03 2025

33.6 GB30.5 GB file

32K 45.1 GB · 128K 81.8 GB

Qwen3.8 27B

8.4 GB7.3 GB file

32K 9.7 GB · 128K 15.1 GB

IQ2_XS

C4ai Command A 03 2025

36.7 GB33.7 GB file

32K 48.1 GB · 128K 84.9 GB

Qwen3.8 27B

9.1 GB9.1 GB file

32K 10.4 GB · 128K 15.8 GB

IQ2_S

C4ai Command A 03 2025

38.2 GB35.5 GB file

32K 49.7 GB · 128K 86.4 GB

Qwen3.8 27B

9.4 GB8.4 GB file

32K 10.8 GB · 128K 16.1 GB

IQ2_M

C4ai Command A 03 2025

41.2 GB38.4 GB file

32K 52.7 GB · 128K 89.5 GB

Qwen3.8 27B

10.1 GB10.5 GB file

32K 11.5 GB · 128K 16.8 GB

IQ3_XXS

C4ai Command A 03 2025

47.3 GB43.4 GB file

32K 58.8 GB · 128K 95.6 GB

Qwen3.8 27B

11.5 GB10.9 GB file

32K 12.9 GB · 128K 18.2 GB

Q2_K_S

C4ai Command A 03 2025

48.9 GB39.0 GB file

32K 60.4 GB · 128K 97.1 GB

Qwen3.8 27B

not listed

IQ3_XS

C4ai Command A 03 2025

50.4 GB46.5 GB file

32K 61.9 GB · 128K 98.6 GB

Qwen3.8 27B

12.2 GB10.4 GB file

32K 13.6 GB · 128K 18.9 GB

IQ3_S

C4ai Command A 03 2025

51.9 GB49.1 GB file

32K 63.4 GB · 128K 100 GB

Qwen3.8 27B

12.6 GB12.0 GB file

32K 13.9 GB · 128K 19.3 GB

IQ3_M

C4ai Command A 03 2025

55.0 GB50.8 GB file

32K 66.5 GB · 128K 103 GB

Qwen3.8 27B

13.3 GB14.9 GB file

32K 14.6 GB · 128K 20.0 GB

Q3_K_L

C4ai Command A 03 2025

62.6 GB59.1 GB file

32K 74.1 GB · 128K 111 GB

Qwen3.8 27B

15.0 GB14.1 GB file

32K 16.3 GB · 128K 21.7 GB

IQ4_XS

C4ai Command A 03 2025

65.7 GB60.0 GB file

32K 77.2 GB · 128K 114 GB

Qwen3.8 27B

15.7 GB14.3 GB file

32K 17.0 GB · 128K 22.4 GB

IQ4_NL

C4ai Command A 03 2025

68.7 GB63.4 GB file

32K 80.2 GB · 128K 117 GB

Qwen3.8 27B

16.4 GB17.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_1

C4ai Command A 03 2025

68.7 GB70.0 GB file

32K 80.2 GB · 128K 117 GB

Qwen3.8 27B

16.4 GB17.5 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_S

C4ai Command A 03 2025

68.7 GB63.8 GB file

32K 80.2 GB · 128K 117 GB

Qwen3.8 27B

16.4 GB15.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_L

C4ai Command A 03 2025

74.8 GB67.9 GB file

32K 86.3 GB · 128K 123 GB

Qwen3.8 27B

17.8 GB18.8 GB file

32K 19.1 GB · 128K 24.5 GB

Q5_K_S

C4ai Command A 03 2025

84.0 GB76.8 GB file

32K 95.5 GB · 128K 132 GB

Qwen3.8 27B

19.9 GB18.7 GB file

32K 21.2 GB · 128K 26.6 GB

Q5_K_L

C4ai Command A 03 2025

not listed

Qwen3.8 27B

20.9 GB21.5 GB file

32K 22.2 GB · 128K 27.6 GB

BF16

C4ai Command A 03 2025

244 GB222.1 GB file

32K 256 GB · 128K 293 GB

Qwen3.8 27B

56.3 GB54.7 GB file

32K 57.7 GB · 128K 63.0 GB

How to run each

C4ai Command A 03 2025

Ollama · Q4_K_M

$ollama run hf.co/bartowski/CohereForAI_c4ai-command-a-03-2025-GGUF:Q4_K_M

All ways to run C4ai Command A 03 2025 →

Qwen3.8 27B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M

All ways to run Qwen3.8 27B →

Specifications

Specifications of C4ai Command A 03 2025 and Qwen3.8 27B
Spec	C4ai Command A 03 2025	Qwen3.8 27B
Publisher	Cohere	Alibaba
Parameters	111.1B	27.8B
Architecture	—	Qwen3_5ForConditionalGeneration
Context	—	256K tokens
Modalities	Chat, Function-calling	Vision, Function-calling
License	CC BY-NC 4.0	Apache 2.0
Released	Mar 2025	Aug 2026

Frequently Asked Questions

Which is better, C4ai Command A 03 2025 or Qwen3.8 27B?

Qwen3.8 27B leads llmrun Score 122.1 to 79.8; only Qwen3.8 27B fits 24 GB (Q4_K_M); C4ai Command A 03 2025 needs 39 GB even at its smallest quant. Choose C4ai Command A 03 2025 for also does chat; choose Qwen3.8 27B for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, C4ai Command A 03 2025 or Qwen3.8 27B?

At Q4_K_M, C4ai Command A 03 2025 requires 73.3 GB while Qwen3.8 27B needs 17.4 GB, making Qwen3.8 27B the easier model to run on your local setup.

Can I run C4ai Command A 03 2025 or Qwen3.8 27B on a 16 GB GPU?

C4ai Command A 03 2025 does not fit (smallest quant needs 39 GB); Qwen3.8 27B fits at Q3_K_L.