DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF vs Kimi-K2-Instruct

Specs, VRAM requirements and download trends — updated 10 November 2026.

ISTA-DASLab · A · Open weights
Params
763.2 B
Context
—
30d
3.3 M
mit · commercial OK
moonshotai · B · Open weights
Params
1,026.5 B
Context
131,072
30d
277 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF Kimi-K2-Instruct
Deployment Open weights Open weights · also via API
Parameters 763.2 B 1,026.5 B
Architecture — DeepseekV3ForCausalLM
Context length — 131,072
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 3,270,121 277,334
Downloads all time 3.3 M 4.7 M
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2026-10-23 2025-07-11
API input price / 1M tokens not on OpenRouter $0.57
API output price / 1M tokens not on OpenRouter $2.30
Est. cost per 1M input + 1M output tokens not on OpenRouter $2.87
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 98,304
API providers not on OpenRouter 1
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter No

API cost

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

Kimi-K2-Instruct $2.87

Download trend

Daily snapshots, last 16 days (26 Oct – 10 Nov)

3.3 M162 K
DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF Kimi-K2-Instruct

VRAM side by side

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

Kimi-K2-Instruct · fp16 @ 128K ctx 3,596.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons