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CN
Moonshot

Kimi K2 Base

Moonshot
Overview

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Quick Links
Key Metrics
Max Input
128,000
Tokens
Max Output
128,000
Tokens
Throughput
-
tok/s
Latency
-
ms
Input Price
$0.6
Per 1M Tokens
Cached Input Price
$0.15
Per 1M Tokens
Output Price
$2.5
Per 1M Tokens
Blended Price
$2.025
Per 1M Tokens
Model Information
Release Details

Released

11 Jul 2025

Knowledge Cutoff

Apr 2025

License

Modified MIT

Model Architecture

Parameters

-

Training Data

-

Context Window

Input Context Length

128,000 tokens

Output Context Length

128,000 tokens

Key Features
Web Access
No

Real-time access to current web information

Multimodal
No

Ability to process multiple data types (text, images, etc.)

Reasoning
No

Advanced logical and deductive reasoning capabilities

Fine-Tunable
Yes

Can be customized for specific use cases

Model Release & Updates
11 Jul 2025
Model Released
Model first made available to the public
11 Jul 2025
Model Announced
Model first introduced to the public
20 Jan 2025
Previous version
Benchmarks & Performance Comparison
AI Stats Score
1653.97
#63/205
C-Eval
92.50%
#1/1
CSimpleQA
77.60%
#1/1
EvalPlus
80.30%
#1/1
GPQA Diamond
48.10%
#60/98
GSM8K
92.10%
#1/3
MATH
40.20%
#3/5
MMLU
87.80%
#8/13
MMLU Redux 2.0
90.20%
#1/1
MMLU-Pro
69.20%
#7/8
SimpleQA
35.30%
#5/13
SuperGPQA
44.70%
#2/2
TriviaQA
85.10%
#1/1