DeepSeek-V4-Pro vs Qwen3.8-2.4T-A95B

Specs, VRAM requirements and download trends — updated 24 October 2026.

deepseek-ai · A · Open weights
Params
1,598.8 B
Context
1,048,576
30d
355 K
mit · commercial OK
Qwen · B · Open weights
Params
2,446.2 B
Context
262,144
30d
25 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Pro Qwen3.8-2.4T-A95B
Deployment Open weights · also via API Open weights · also via API
Parameters 1,598.8 B 2,446.2 B
Architecture DeepseekV4ForCausalLM Qwen3_5MoeForCausalLM
Context length 1,048,576 262,144
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 355,279 24,938
Downloads all time 11.0 M 101 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-22 2026-08-08
API input price / 1M tokens $0.56 $2.00
API output price / 1M tokens $1.12 $6.00
Est. cost per 1M input + 1M output tokens $1.68 $8.00
Cached input / 1M tokens $0.047 $0.25
AA Intelligence Index 30.4 39.9
AA Coding Index 59.4 71.9
AA Agentic Index 26.3 50.1
Max output tokens 384,000 909,000
API providers 14 5
Tool calling Yes Yes
Reasoning mode Yes Yes

API cost

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

DeepSeek-V4-Pro $1.68
Qwen3.8-2.4T-A95B $8.00

DeepSeek-V4-Pro is 4.8× cheaper at list price.

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

1.7 M25 K
DeepSeek-V4-Pro Qwen3.8-2.4T-A95B

VRAM side by side

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

Qwen3.8-2.4T-A95B · fp16 @ 256K ctx 17,123.8 GB / 24 GB
❌ Won’t fit
DeepSeek-V4-Pro · fp16 @ 1024K ctx 31,649.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons