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Model Comparison

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

DeepSeek

DeepSeek VL2

DeepSeek

DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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-0905

Moonshot AI

Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

DeepSeek

DeepSeek VL2

DeepSeek

2024-12-13

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

2025-09-05

8 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

Larger context
Max Context:258.6K
Parameters:27.0B
Moonshot AI

Kimi K2-Instruct-0905

Max Context:-
Parameters:1.0T

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

general
+0.1%
69.9%
math
62.8%
Moonshot AI

Kimi K2-Instruct-0905

general
69.9%
math
+2.2%
65.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Moonshot AI

Kimi K2-Instruct-0905

0 providers
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1
Moonshot AI

Kimi K2-Instruct-0905

Avg Score:0.0%
Providers:0