DeepSeek-V4-Flash-0731 vs Ling-3.0-flash

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

deepseek-ai · A · Open weights
Params
304.2 B
Context
1,048,576
30d
4.3 M
mit · commercial OK
inclusionAI · B · Open weights
Params
127.5 B
Context
262,144
30d
10 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Flash-0731 Ling-3.0-flash
Deployment Open weights · also via API Open weights · also via API
Parameters 304.2 B 127.5 B
Architecture DeepseekV4ForCausalLM BailingMoeV3ForCausalLM
Context length 1,048,576 262,144
Licence mit mit
Commercial use Allowed Allowed
Languages — —
Downloads 30d 4,348,313 9,544
Downloads all time 11.9 M 44 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-07-31 2026-08-02
API input price / 1M tokens $0.044 $0.021
API output price / 1M tokens $0.13 $0.063
Est. cost per 1M input + 1M output tokens $0.18 $0.084
Cached input / 1M tokens $0.0014 $0.0042
AA Intelligence Index 34.3 20.1
AA Coding Index 69.1 50.6
AA Agentic Index 41 19.3
Max output tokens 131,072 32,768
API providers 22 2
Tool calling Yes Yes
Reasoning mode Yes Yes

API cost

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

DeepSeek-V4-Flash-0731 $0.18
Ling-3.0-flash $0.084

Ling-3.0-flash is 2.1× cheaper at list price.

Download trend

Daily snapshots, last 82 days (4 Aug – 24 Oct)

4.7 M10 K
DeepSeek-V4-Flash-0731 Ling-3.0-flash

VRAM side by side

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

Ling-3.0-flash · fp16 @ 256K ctx 892.9 GB / 24 GB
❌ Won’t fit
DeepSeek-V4-Flash-0731 · fp16 @ 1024K ctx 6,024.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons