DeepSeek-V3 vs Beam-1.0-501B-A23B

Specs, VRAM requirements and download trends — updated 25 October 2026.

deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.4 M
reflection · B · Open weights
Params
501.3 B
Context
1,048,576
30d
4 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3 Beam-1.0-501B-A23B
Deployment Open weights · also via API Open weights · also via API
Parameters 684.5 B 501.3 B
Architecture DeepseekV3ForCausalLM BeamForCausalLM
Context length 163,840 1,048,576
Licence — apache-2.0
Commercial use Unknown Allowed
Languages — 1
Downloads 30d 1,420,996 4,432
Downloads all time 22.6 M 4 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-12-25 2026-10-07
API input price / 1M tokens $0.26 $0.25
API output price / 1M tokens $1.03 $1.00
Est. cost per 1M input + 1M output tokens $1.29 $1.25
Cached input / 1M tokens — $0.05
AA Intelligence Index — —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 16,000 131,072
API providers 2 6
Tool calling Yes Yes
Reasoning mode No Yes

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

DeepSeek-V3 $1.29
Beam-1.0-501B-A23B $1.25

Beam-1.0-501B-A23B is 1.0× cheaper at list price.

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

1.5 M2 K
DeepSeek-V3 Beam-1.0-501B-A23B

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

DeepSeek-V3 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit
Beam-1.0-501B-A23B · fp16 @ 1024K ctx 10,727.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons