Deepseek V2.5 (Dec '24)

DeepSeek-V2.5 is an upgraded version that combines DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct, integrating general capabilities and coding capabilities. It better aligns with human preferences and has been optimized in areas such as writing and instruction following.

Intelligence(Relatively Weak)

Speed(Slow)

Input Supported Modalities

Is Reasoning Model

128,000

Context Window

8,192

Maximum Output Tokens

Knowledge Cutoff

Pricing

￥1.01 /M tokens

Input

￥2.02 /M tokens

Output

￥1.26 /M tokens

Blended Price

Quick Simple Comparison

DeepSeek Coder V2 Lite Instruct

DeepSeek V3 (Dec '24)

￥0.27

DeepSeek R1 Distill Qwen 14B

Basic Parameters

GPT-4.1 Technical Parameters

Parameter Count

236,000.0M

Context Length

128.00k tokens

Training Data Cutoff

Open Source Category

Open Weights (Permissive License)

Multimodal Support

Text Only

Throughput

100

Release Date

2024-12-10

Response Speed

0 tokens/s

Benchmark Scores

Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

3527

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions