Qwen 3 235B vs DeepSeek V3
Architecture Comparison
SpecQwen 3 235BDeepSeek V3
TypeMOEMOE
Total Parameters235B671B
Active Parameters22B37B
Layers9461
Hidden Dimension5,1207,168
Attention Heads64128
KV Heads41
Context Length131,072131,072
Precision (default)BF16BF16
Total Experts128256
Active Experts88
Memory Requirements
PrecisionQwen 3 235BDeepSeek V3
BF16 Weights470.0 GB1342.0 GB
FP8 Weights235.0 GB671.0 GB
INT4 Weights117.5 GB335.5 GB
KV-Cache / Token192512 B31232 B
Activation Estimate3.00 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXM7 GPUsN/A
L40SN/AN/A
Quality Benchmarks
BenchmarkQwen 3 235BDeepSeek V3
Overall8886
MMLU88.087.1
HumanEval62.065.0
GSM8K94.089.3
MT-Bench88.087.0
Qwen 3 235B
MMLU
88.0
HumanEval
62.0
GSM8K
94.0
MT-Bench
88.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Capabilities
FeatureQwen 3 235BDeepSeek V3
Tool Use✓ Yes✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✓ Yes✗ No
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (Qwen 3 235B)
$3.00/M
Input: $1.50/M
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
| Provider | Qwen 3 235B In $/M | Out $/M | DeepSeek V3 In $/M | Out $/M |
|---|---|---|---|---|
| deepseek | — | — | $0.28 | $0.42 |
| together | $1.50 | $3.00 | $0.50 | $2.80 |
| 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).