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Grok 2 (Dec '24)
Grok-2 是一个前沿的语言模型，具有最先进的推理能力，具备在聊天、编程和推理方面的高级能力。它在视觉数学推理、基于文档的问题回答方面表现出色，并在包括推理、阅读理解、数学和科学在内的多个学术基准测试中表现优异。
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
131,072
Context Window
8,000
Maximum Output Tokens
2024-08-01
Knowledge Cutoff
Pricing
￥14.4 /M tokens
Input
￥72 /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
Grok 3
￥3
Grok 3 Reasoning Beta
￥3
Grok 3 mini Reasoning
￥0.3
Basic Parameters
Grok 2 (Dec '24)Technical Parameters
Parameter Count
Not Announced
Context Length
131.07k tokens
Training Data Cutoff
2024-08-01
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
85
Release Date
2024-12-12
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of Grok 2 (Dec '24) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
39.23
Large Language Model Intelligence Level
Coding Index
27.57
Indicator of AI model performance on coding tasks
Math Index
45.57
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
70.9
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
51
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.8
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
26.7
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
28.5
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
86.3
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
77.8
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
13.3
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 2.0 Flash Lite (Preview)
google
￥0.58
Input tokens/million
￥2.16
Output tokens/million
1M
Context Length
Gemini 1.0 Pro
google
￥3.6
Input tokens/million
￥10.8
Output tokens/million
33k
Context Length
Qwen2.5 Coder Instruct 32B
alibaba
￥0.65
Input tokens/million
￥0.65
Output tokens/million
131k
Context Length