DeepSeek R1 Distill 1.5B
DeepSeek · dense · 1.5B parameters · 131,072 context
Parameters
1.5B
Context Window
128K tokens
Architecture
Dense
Best GPU
A4000
Quality Score
42/100
Intelligence Brief
DeepSeek R1 Distill 1.5B is a 1.5B parameter DENSE model from DeepSeek, featuring Grouped Query Attention (GQA) with 28 layers and 1,536 hidden dimensions. With a 131,072 token context window, it supports structured output, code, math, multilingual, reasoning. On standardized benchmarks, it achieves MMLU 48, HumanEval 28, GSM8K 50. For self-hosted inference, A4000 delivers optimal throughput at $161/month.
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Picks: same family first, then same vendor within ±2× params, then top tag-overlap matches. Price shown is the cheapest Output $/M across providers — the row's page shows the canonical anchor.
Architecture Details
Memory Requirements
BF16 Weights
3.0 GB
FP8 Weights
1.5 GB
INT4 Weights
0.8 GB
GPU Compatibility Matrix
DeepSeek R1 Distill 1.5B is compatible with 100% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
90/100
score
Throughput
806.4 tok/s
Latency (ITL)
1.2ms
Est. TTFT
0ms
Cost/Month
$161
Cost/M Tokens
$0.08
BF16 · 1 GPU · vllm
90/100
score
Throughput
1.3K tok/s
Latency (ITL)
0.8ms
Est. TTFT
0ms
Cost/Month
$304
Cost/M Tokens
$0.09
BF16 · 1 GPU · vllm
90/100
score
Throughput
907.1 tok/s
Latency (ITL)
1.1ms
Est. TTFT
0ms
Cost/Month
$237
Cost/M Tokens
$0.10
Deployment Options
API Deployment
No API pricing available
Single GPU
A4000
$161/mo
Min VRAM: 2 GB
Multi-GPU
A4000
806.4 tok/s
Best available config
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (A4000, BF16)
Precision Impact
bf16
3.0 GB
weights/GPU
~806.4 tok/s
fp8
1.5 GB
weights/GPU
int4
0.8 GB
weights/GPU
Quality Benchmarks
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy DeepSeek R1 Distill 1.5B
Self-Hosted Infrastructure
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Frequently Asked Questions
How much VRAM does DeepSeek R1 Distill 1.5B need for inference?
DeepSeek R1 Distill 1.5B requires approximately 3.0 GB of VRAM at BF16 precision, 1.5 GB at FP8, or 0.8 GB at INT4 quantization. Additional VRAM is needed for KV-cache (14336 bytes per token) and activations (~0.20 GB).
What is the best GPU for DeepSeek R1 Distill 1.5B?
The top recommended GPU for DeepSeek R1 Distill 1.5B is the A4000 using BF16 precision. It achieves approximately 806.4 tokens/sec at an estimated cost of $161/month ($0.08/M tokens). Score: 90/100.
How much does DeepSeek R1 Distill 1.5B inference cost?
DeepSeek R1 Distill 1.5B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.