
Deepseek Coder V2 Lite Instruct
Intelligence(Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
0
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
DeepSeek V3 0324 (Mar '25)
DeepSeek R1
¥0.55
DeepSeek R1 (Jan '25)
¥0.56
Basic Parameters
DeepSeek Coder V2 Lite InstructTechnical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
0
Release Date
2024-06-17
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of DeepSeek Coder V2 Lite Instruct in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
20.49
Large Language Model Intelligence Level
Coding Index
14.83
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
42.9
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
31.9
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
5.3
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
15.8
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
13.9
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
-
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
-
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
-
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
GPT 5 Mini
openai

¥1.8
Input tokens/million
¥14.4
Output tokens/million
400k
Context Length
GPT 5 Standard
openai

¥63
Input tokens/million
¥504
Output tokens/million
400k
Context Length
GPT 5 Nano
openai

¥0.36
Input tokens/million
¥2.88
Output tokens/million
400k
Context Length
GPT 5
openai

¥9
Input tokens/million
¥72
Output tokens/million
400k
Context Length
GLM 4.5
chatglm

¥0.43
Input tokens/million
¥1.01
Output tokens/million
131k
Context Length
Gemini 1.0 Pro
google

¥3.6
Input tokens/million
¥10.8
Output tokens/million
33k
Context Length
Gemini 2.0 Flash Lite (Preview)
google

¥0.58
Input tokens/million
¥2.16
Output tokens/million
1M
Context Length
GPT 4
openai

¥216
Input tokens/million
¥432
Output tokens/million
8192
Context Length