DeepSeek-R1-0528
The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528. In the latest update, DeepSeek R1 has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. The model has demonstrated outstanding performance across various benchmark e...
Params
684.5 B
Context
163,840
Downloads 30d
164 K
Likes
2,493
Download history
daily snapshots · 106 days
▲ 22 K in the last 30 days (11.9%)
182 K158 K
Oct 12Oct 22Nov 1Nov 10
252 K158 K
Aug 13Sep 12Oct 12Nov 10
252 K158 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f8_e4m3 | 688.6 GB | 860.6 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 160K ctx | 688.6 GB | 2,811.5 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-r1-0528
{
"hf_id": "deepseek-ai/DeepSeek-R1-0528",
"params_b": 684.53,
"context_length": 163840,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 163888,
"vram_estimates": [
{ "quant": "f8_e4m3", "gb": 860.6 }
],
"updated_at": "2026-07-28T18:07:20Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.50
input / 1M
$2.15
output / 1M
$0.35
cached input / 1M
$2.65
1M in + 1M out
- Context window
- 163,840 tokens
- Max output
- 32,768 tokens
- Providers
- 3
- Cheapest provider
- DeepInfra · $0.50 / $2.15
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- DeepseekV3ForCausalLM
- Parameters
- 684.5 B
- Tensor type
- F8_E4M3
- Context length
- 163,840
- Vocabulary
- 129,280
- Layers / heads
- 61 / 128
- Licence
- mit
- First seen on the Hub
- 2025-05-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model