DeepSeek-V3-0324 vs Kimi-K2.5

Specs, VRAM requirements and download trends — updated 14 August 2026.

deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
150 K
mit · commercial OK
mlx-community · B · Open weights
Params
1,026.4 B
Context
—
30d
166 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3-0324 Kimi-K2.5
Deployment Open weights · also via API Open weights
Parameters 684.5 B 1,026.4 B
Architecture DeepseekV3ForCausalLM KimiK25ForConditionalGeneration
Context length 163,840 —
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 149,937 166,174
Downloads all time 10.5 M 6.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-03-24 2026-01-27
API input price / 1M tokens $0.29 not on OpenRouter
API output price / 1M tokens $1.14 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.43 not on OpenRouter
Cached input / 1M tokens $0.11 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 21.2 not on OpenRouter
AA Agentic Index 0.8 not on OpenRouter
Max output tokens 115,200 not on OpenRouter
API providers 2 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

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

DeepSeek-V3-0324 $1.43

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.5 M150 K
DeepSeek-V3-0324 Kimi-K2.5

VRAM side by side

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

Kimi-K2.5 · fp16 877.8 GB / 24 GB
❌ Won’t fit
DeepSeek-V3-0324 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons