C4ai Command A 03 2025 vs Qwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 leads llmrun Score 108.2 to 79.8; neither fits 24 GB.

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 235B A22B Thinking 2507

108.2llmrun Score

235.1B · 22.2B active · 256K context · Apache 2.0 · Jul 2025

ChatFunctions

Which should you choose?

Choose C4ai Command A 03 2025 if you want…

Fits a Mac 64 GB
IQ3_M · 60.3 GB; Qwen3 235B A22B Thinking 2507 needs 72.4 GB at its smallest quant
Lighter on memory
73.3 vs 141.6 GB at Q4_K_M

Choose Qwen3 235B A22B Thinking 2507 if you want…

Higher llmrun Score
108.2 vs 79.8
Stronger at reasoning
106.4 vs 83.4
More permissive license
Apache 2.0 vs CC BY-NC 4.0
Newer release
Jul 2025 vs Mar 2025

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 235B A22B Thinking 2507

8 GB

RTX 4060 · 8 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

12 GB

RTX 3060 12GB · 12 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

24 GBreference

RTX 4090 · 24 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

32 GB

RTX 5090 · 32 GB tier

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

48 GB

RTX A6000 · 48 GB tier

C4ai Command A 03 2025

IQ2_M · ~12 tok/s

46.6 GB · up to 16Kfits

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

Mac 32 GB

Mac Mini M4 · Macs

C4ai Command A 03 2025

Doesn't fit

smallest quant needs 39 GB

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

Mac 64 GB

Mac Studio M4 Max · Macs

C4ai Command A 03 2025

IQ3_M · ~7 tok/s

60.3 GB · up to 16Kfits

Qwen3 235B A22B Thinking 2507

Doesn't fit

smallest quant needs 72.4 GB

Mac 128 GB

Mac Studio M4 Max · Macs

C4ai Command A 03 2025

Q4_K_M · ~5 tok/s

78.7 GB · up to 32Kmore headroom

Qwen3 235B A22B Thinking 2507

Q3_K_L · ~21 tok/s

122.4 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

C4ai Command A 03 2025 Qwen3 235B A22B Thinking 2507

Overall

C4ai Command A 03 2025

79.873–87

Qwen3 235B A22B Thinking 2507

108.2105–112

Coding

C4ai Command A 03 2025

no data

Qwen3 235B A22B Thinking 2507

102.392–112

Science

C4ai Command A 03 2025

no data

Qwen3 235B A22B Thinking 2507

107.599–116

Reasoning

C4ai Command A 03 2025

83.474–93

Qwen3 235B A22B Thinking 2507

106.499–114

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

Qwen3 235B A22B Thinking 2507 · #33 of 100 open models · #16 of 78 that fit ≤192 GB

Benchmarks

2 shared boards: C4ai Command A 03 2025 leads 0, Qwen3 235B A22B Thinking 2507 leads 2 · Benchmarks imported Oct 2026

BoardC4ai Command A 03 2025Qwen3 235B A22B Thinking 2507

DTBench

C4ai Command A 03 2025

61.3%#43/68 open

Lab-reportedEpoch AI · Mar 2025

Qwen3 235B A22B Thinking 2507

80.3%#22/68 open

Lab-reportedEpoch AI · Jul 2025

LMCA

C4ai Command A 03 2025

10.3%#47/54 open

Lab-reportedEpoch AI · Mar 2025

Qwen3 235B A22B Thinking 2507

29.3%#23/54 open

Lab-reportedEpoch AI · Jul 2025

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

LMArena Text

C4ai Command A 03 2025

1353.7#73/187 open

ArenaLMArena · Oct 2026

Qwen3 235B A22B Thinking 2507

1399.8#49/187 open

ArenaLMArena · Oct 2026

Only C4ai Command A 03 2025 (1)

Aider Polyglot12.0%

Only Qwen3 235B A22B Thinking 2507 (10)

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 235B A22B Thinking 2507

Q2_K

C4ai Command A 03 2025

51.9 GB42.1 GB file

32K 63.4 GB · 128K 100 GB

Qwen3 235B A22B Thinking 2507

100 GB85.7 GB file

32K 103 GB · 128K 113 GB

Q3_K_S

C4ai Command A 03 2025

53.5 GB49.0 GB file

32K 64.9 GB · 128K 102 GB

Qwen3 235B A22B Thinking 2507

103 GB101.4 GB file

32K 106 GB · 128K 116 GB

Q3_K_M

C4ai Command A 03 2025

59.6 GB54.4 GB file

32K 71.0 GB · 128K 108 GB

Qwen3 235B A22B Thinking 2507

115 GB112.4 GB file

32K 118 GB · 128K 128 GB

Q4_0

C4ai Command A 03 2025

61.1 GB63.5 GB file

32K 72.6 GB · 128K 109 GB

Qwen3 235B A22B Thinking 2507

118 GB133.1 GB file

32K 121 GB · 128K 130 GB

Q4_K_M

C4ai Command A 03 2025

73.3 GB67.1 GB file

32K 84.8 GB · 128K 122 GB

Qwen3 235B A22B Thinking 2507

142 GB142.2 GB file

32K 145 GB · 128K 154 GB

Q5_K_M

C4ai Command A 03 2025

87.0 GB78.8 GB file

32K 98.5 GB · 128K 135 GB

Qwen3 235B A22B Thinking 2507

168 GB166.8 GB file

32K 171 GB · 128K 180 GB

Q6_K

C4ai Command A 03 2025

101 GB91.1 GB file

32K 112 GB · 128K 149 GB

Qwen3 235B A22B Thinking 2507

194 GB193.0 GB file

32K 197 GB · 128K 207 GB

Q8_0

C4ai Command A 03 2025

122 GB118.0 GB file

32K 134 GB · 128K 170 GB

Qwen3 235B A22B Thinking 2507

236 GB249.9 GB file

32K 239 GB · 128K 248 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

Qwen3 235B A22B Thinking 2507

not listed

IQ2_XS

C4ai Command A 03 2025

36.7 GB33.7 GB file

32K 48.1 GB · 128K 84.9 GB

Qwen3 235B A22B Thinking 2507

71.0 GB65.6 GB file

32K 74.0 GB · 128K 83.5 GB

IQ2_S

C4ai Command A 03 2025

38.2 GB35.5 GB file

32K 49.7 GB · 128K 86.4 GB

Qwen3 235B A22B Thinking 2507

74.0 GB66.1 GB file

32K 76.9 GB · 128K 86.4 GB

IQ2_M

C4ai Command A 03 2025

41.2 GB38.4 GB file

32K 52.7 GB · 128K 89.5 GB

Qwen3 235B A22B Thinking 2507

79.8 GB78.6 GB file

32K 82.8 GB · 128K 92.3 GB

IQ3_XXS

C4ai Command A 03 2025

47.3 GB43.4 GB file

32K 58.8 GB · 128K 95.6 GB

Qwen3 235B A22B Thinking 2507

91.6 GB93.1 GB file

32K 94.6 GB · 128K 104 GB

Q2_K_S

C4ai Command A 03 2025

48.9 GB39.0 GB file

32K 60.4 GB · 128K 97.1 GB

Qwen3 235B A22B Thinking 2507

not listed

IQ3_XS

C4ai Command A 03 2025

50.4 GB46.5 GB file

32K 61.9 GB · 128K 98.6 GB

Qwen3 235B A22B Thinking 2507

97.5 GB96.9 GB file

32K 100 GB · 128K 110 GB

IQ3_S

C4ai Command A 03 2025

51.9 GB49.1 GB file

32K 63.4 GB · 128K 100 GB

Qwen3 235B A22B Thinking 2507

not listed

IQ3_M

C4ai Command A 03 2025

55.0 GB50.8 GB file

32K 66.5 GB · 128K 103 GB

Qwen3 235B A22B Thinking 2507

106 GB107.3 GB file

32K 109 GB · 128K 119 GB

Q3_K_L

C4ai Command A 03 2025

62.6 GB59.1 GB file

32K 74.1 GB · 128K 111 GB

Qwen3 235B A22B Thinking 2507

121 GB111.2 GB file

32K 124 GB · 128K 133 GB

IQ4_XS

C4ai Command A 03 2025

65.7 GB60.0 GB file

32K 77.2 GB · 128K 114 GB

Qwen3 235B A22B Thinking 2507

127 GB125.5 GB file

32K 130 GB · 128K 139 GB

IQ4_NL

C4ai Command A 03 2025

68.7 GB63.4 GB file

32K 80.2 GB · 128K 117 GB

Qwen3 235B A22B Thinking 2507

133 GB133.1 GB file

32K 136 GB · 128K 145 GB

Q4_1

C4ai Command A 03 2025

68.7 GB70.0 GB file

32K 80.2 GB · 128K 117 GB

Qwen3 235B A22B Thinking 2507

133 GB147.2 GB file

32K 136 GB · 128K 145 GB

Q4_K_S

C4ai Command A 03 2025

68.7 GB63.8 GB file

32K 80.2 GB · 128K 117 GB

Qwen3 235B A22B Thinking 2507

133 GB133.7 GB file

32K 136 GB · 128K 145 GB

Q4_K_L

C4ai Command A 03 2025

74.8 GB67.9 GB file

32K 86.3 GB · 128K 123 GB

Qwen3 235B A22B Thinking 2507

not listed

Q5_K_S

C4ai Command A 03 2025

84.0 GB76.8 GB file

32K 95.5 GB · 128K 132 GB

Qwen3 235B A22B Thinking 2507

162 GB161.9 GB file

32K 165 GB · 128K 175 GB

BF16

C4ai Command A 03 2025

244 GB222.1 GB file

32K 256 GB · 128K 293 GB

Qwen3 235B A22B Thinking 2507

471 GB470.3 GB file

32K 474 GB · 128K 483 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 235B A22B Thinking 2507

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF:Q4_K_M

All ways to run Qwen3 235B A22B Thinking 2507 →

Specifications

Specifications of C4ai Command A 03 2025 and Qwen3 235B A22B Thinking 2507
Spec	C4ai Command A 03 2025	Qwen3 235B A22B Thinking 2507
Publisher	Cohere	Alibaba
Parameters	111.1B	235.1B
Active parameters	—	22B per token
Architecture	—	Qwen3MoeForCausalLM
Context	—	256K tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	CC BY-NC 4.0	Apache 2.0
Released	Mar 2025	Jul 2025

Frequently Asked Questions

Which is better, C4ai Command A 03 2025 or Qwen3 235B A22B Thinking 2507?

Qwen3 235B A22B Thinking 2507 leads llmrun Score 108.2 to 79.8; neither fits 24 GB. Choose C4ai Command A 03 2025 for fits a Mac 64 GB and lighter on memory; choose Qwen3 235B A22B Thinking 2507 for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, C4ai Command A 03 2025 or Qwen3 235B A22B Thinking 2507?

At Q4_K_M, C4ai Command A 03 2025 requires 73.3 GB while Qwen3 235B A22B Thinking 2507 needs 141.6 GB, making C4ai Command A 03 2025 the easier model to run on your local setup.

Can I run C4ai Command A 03 2025 or Qwen3 235B A22B Thinking 2507 on a 16 GB GPU?

C4ai Command A 03 2025 does not fit (smallest quant needs 39 GB); Qwen3 235B A22B Thinking 2507 does not fit (smallest quant needs 72.4 GB).