DeepSeek-R1 vs GLM-5.1-FP8
Specs, VRAM requirements and download trends — updated 25 October 2026.
deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.5 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-R1 | GLM-5.1-FP8 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 684.5 B | 753.9 B |
| Architecture | DeepseekV3ForCausalLM | GlmMoeDsaForCausalLM |
| Context length | 163,840 | 202,752 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | 2 |
| Downloads 30d | 1,468,488 | 200,338 |
| Downloads all time | 50.4 M | 4.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-01-20 | 2026-04-03 |
| API input price / 1M tokens | $0.70 | not on OpenRouter |
| API output price / 1M tokens | $2.50 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $3.20 | not on OpenRouter |
| Cached input / 1M tokens | — | not on OpenRouter |
| AA Intelligence Index | 11.4 | not on OpenRouter |
| AA Coding Index | 24.6 | not on OpenRouter |
| AA Agentic Index | 1.1 | not on OpenRouter |
| Max output tokens | 16,000 | not on OpenRouter |
| API providers | — | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | Yes | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-R1
$3.20
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
9.9 M200 K
DeepSeek-R1
GLM-5.1-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-R1 · fp16 @ 160K ctx
2,811.5 GB / 24 GB
GLM-5.1-FP8 · fp16 @ 198K ctx
3,631.2 GB / 24 GB