DeepSeek V3 vs Mixtral 8x22B
Architecture Comparison
SpecDeepSeek V3Mixtral 8x22B
TypeMOEMOE
Total Parameters671B141B
Active Parameters37B39B
Layers6156
Hidden Dimension7,1686,144
Attention Heads12848
KV Heads18
Context Length131,07265,536
Precision (default)BF16BF16
Total Experts2568
Active Experts82
Memory Requirements
PrecisionDeepSeek V3Mixtral 8x22B
BF16 Weights1342.0 GB282.0 GB
FP8 Weights671.0 GB141.0 GB
INT4 Weights335.5 GB70.5 GB
KV-Cache / Token31232 B229376 B
Activation Estimate3.00 GB2.50 GB
Minimum GPUs Needed (BF16)
H100 SXMN/A5 GPUs
L40SN/A7 GPUs
Quality Benchmarks
BenchmarkDeepSeek V3Mixtral 8x22B
Overall8673
MMLU87.177.8
HumanEval65.046.0
GSM8K89.378.4
MT-Bench87.080.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Mixtral 8x22B
MMLU
77.8
HumanEval
46.0
GSM8K
78.4
MT-Bench
80.0
Capabilities
FeatureDeepSeek V3Mixtral 8x22B
Tool Use✓ Yes✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✗ No
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
Cheapest Output (Mixtral 8x22B)
$1.20/M
Input: $1.20/M
| Provider | DeepSeek V3 In $/M | Out $/M | Mixtral 8x22B In $/M | Out $/M |
|---|---|---|---|---|
| deepseek | $0.28 | $0.42 | — | — |
| together | $0.50 | $2.80 | $1.20 | $1.20 |
| mistral | — | — | $2.00 | $6.00 |
Recommendation Summary
- ‣DeepSeek V3 scores higher on overall quality (86 vs 73).
- ‣DeepSeek V3 is cheaper per output token ($0.42/M vs $1.20/M).
- ‣Mixtral 8x22B has a smaller memory footprint (282.0 GB vs 1342.0 GB BF16), making it easier to deploy on fewer GPUs.
- ‣DeepSeek V3 supports a longer context window (131,072 vs 65,536 tokens).
- ‣DeepSeek V3 is stronger at code generation (HumanEval: 65.0 vs 46.0).
- ‣DeepSeek V3 is better at math reasoning (GSM8K: 89.3 vs 78.4).