DeepSeek-V4-Flash-0731 vs Kimi-K2-Thinking-NVFP4

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

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Flash-0731 Kimi-K2-Thinking-NVFP4
Deployment Open weights · also via API Open weights
Parameters 304.2 B 519.1 B
Architecture DeepseekV4ForCausalLM DeepseekV3ForCausalLM
Context length 1,048,576 262,144
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 4,315,560 228,965
Downloads all time 12.1 M 652 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-07-31 2025-12-02
API input price / 1M tokens $0.044 not on OpenRouter
API output price / 1M tokens $0.13 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.18 not on OpenRouter
Cached input / 1M tokens $0.0014 not on OpenRouter
AA Intelligence Index 34.3 not on OpenRouter
AA Coding Index 69.1 not on OpenRouter
AA Agentic Index 41 not on OpenRouter
Max output tokens 131,072 not on OpenRouter
API providers 22 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-V4-Flash-0731 $0.18

Download trend

Daily snapshots, last 83 days (4 Aug – 25 Oct)

4.7 M171 K
DeepSeek-V4-Flash-0731 Kimi-K2-Thinking-NVFP4

VRAM side by side

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

Kimi-K2-Thinking-NVFP4 · fp16 @ 256K ctx 3,145.7 GB / 24 GB
❌ Won’t fit
DeepSeek-V4-Flash-0731 · fp16 @ 1024K ctx 6,024.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons