Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

19 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Tiny

Max Context:-
Parameters:3.0B
Moonshot AI

Kimi K2 Instruct

Larger context
Max Context:144.0K
Parameters:1.0T

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

math
53.6%
roleplay
53.2%
general
+0.5%
62.5%
Moonshot AI

Kimi K2 Instruct

math
+33.0%
86.6%
roleplay
+23.2%
76.4%
general
62.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

0 providers
Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0
Moonshot AI

Kimi K2 Instruct

Avg Score:0.0%
Providers:1