Mixtral 8x22B vs DeepSeek V3
Architecture Comparison
SpecMixtral 8x22BDeepSeek V3
TypeMOEMOE
Total Parameters141B671B
Active Parameters39B37B
Layers5661
Hidden Dimension6,1447,168
Attention Heads48128
KV Heads81
Context Length65,536131,072
Precision (default)BF16BF16
Total Experts8256
Active Experts28
Memory Requirements
PrecisionMixtral 8x22BDeepSeek V3
BF16 Weights282.0 GB1342.0 GB
FP8 Weights141.0 GB671.0 GB
INT4 Weights70.5 GB335.5 GB
KV-Cache / Token229376 B31232 B
Activation Estimate2.50 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXM5 GPUsN/A
L40S7 GPUsN/A
Quality Benchmarks
BenchmarkMixtral 8x22BDeepSeek V3
Overall7386
MMLU77.887.1
HumanEval46.065.0
GSM8K78.489.3
MT-Bench80.087.0
Mixtral 8x22B
MMLU
77.8
HumanEval
46.0
GSM8K
78.4
MT-Bench
80.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Capabilities
FeatureMixtral 8x22BDeepSeek V3
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 (Mixtral 8x22B)
$1.20/M
Input: $1.20/M
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
| Provider | Mixtral 8x22B In $/M | Out $/M | DeepSeek V3 In $/M | Out $/M |
|---|---|---|---|---|
| deepseek | — | — | $0.28 | $0.42 |
| together | $1.20 | $1.20 | $0.50 | $2.80 |
| 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).