Mixtral 8x22B vs DeepSeek R1
Architecture Comparison
SpecMixtral 8x22BDeepSeek R1
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 R1
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 R1
Overall7392
MMLU77.890.8
HumanEval46.071.7
GSM8K78.497.3
MT-Bench80.089.0
Mixtral 8x22B
MMLU
77.8
HumanEval
46.0
GSM8K
78.4
MT-Bench
80.0
DeepSeek R1
MMLU
90.8
HumanEval
71.7
GSM8K
97.3
MT-Bench
89.0
Capabilities
FeatureMixtral 8x22BDeepSeek R1
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 (Mixtral 8x22B)
$1.20/M
Input: $1.20/M
Cheapest Output (DeepSeek R1)
$2.19/M
Input: $0.55/M
| Provider | Mixtral 8x22B In $/M | Out $/M | DeepSeek R1 In $/M | Out $/M |
|---|---|---|---|---|
| together | $1.20 | $1.20 | $3.00 | $7.00 |
| deepseek | — | — | $0.55 | $2.19 |
| mistral | $2.00 | $6.00 | — | — |
Recommendation Summary
- ‣DeepSeek R1 scores higher on overall quality (92 vs 73).
- ‣Mixtral 8x22B is cheaper per output token ($1.20/M vs $2.19/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 R1 supports a longer context window (131,072 vs 65,536 tokens).
- ‣DeepSeek R1 is stronger at code generation (HumanEval: 71.7 vs 46.0).
- ‣DeepSeek R1 is better at math reasoning (GSM8K: 97.3 vs 78.4).