DeepSeek V3 vs Qwen 3 235B
Architecture Comparison
SpecDeepSeek V3Qwen 3 235B
TypeMOEMOE
Total Parameters671B235B
Active Parameters37B22B
Layers6194
Hidden Dimension7,1685,120
Attention Heads12864
KV Heads14
Context Length131,072131,072
Precision (default)BF16BF16
Total Experts256128
Active Experts88
Memory Requirements
PrecisionDeepSeek V3Qwen 3 235B
BF16 Weights1342.0 GB470.0 GB
FP8 Weights671.0 GB235.0 GB
INT4 Weights335.5 GB117.5 GB
KV-Cache / Token31232 B192512 B
Activation Estimate3.00 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXMN/A7 GPUs
L40SN/AN/A
Quality Benchmarks
BenchmarkDeepSeek V3Qwen 3 235B
Overall8688
MMLU87.188.0
HumanEval65.062.0
GSM8K89.394.0
MT-Bench87.088.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Qwen 3 235B
MMLU
88.0
HumanEval
62.0
GSM8K
94.0
MT-Bench
88.0
Capabilities
FeatureDeepSeek V3Qwen 3 235B
Tool Use✓ Yes✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✓ Yes
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
Cheapest Output (Qwen 3 235B)
$3.00/M
Input: $1.50/M
| Provider | DeepSeek V3 In $/M | Out $/M | Qwen 3 235B In $/M | Out $/M |
|---|---|---|---|---|
| deepseek | $0.28 | $0.42 | — | — |
| together | $0.50 | $2.80 | $1.50 | $3.00 |
| fireworks | — | — | $1.80 | $3.50 |
Recommendation Summary
- ‣Qwen 3 235B scores higher on overall quality (88 vs 86).
- ‣DeepSeek V3 is cheaper per output token ($0.42/M vs $3.00/M).
- ‣Qwen 3 235B has a smaller memory footprint (470.0 GB vs 1342.0 GB BF16), making it easier to deploy on fewer GPUs.
- ‣DeepSeek V3 is stronger at code generation (HumanEval: 65.0 vs 62.0).
- ‣Qwen 3 235B is better at math reasoning (GSM8K: 94.0 vs 89.3).