P
Google's PaLM-2 large language model with important improvements over PaLM. Features stronger reasoning capabilities, multilingual support, and code generation abilities. This model provides technical support for multiple Google AI products, producing important impact in both academic and industrial circles, suitable for various applications requiring powerful foundational language capabilities from research to product development.
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
8,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff

Pricing

- /M tokens
Input
- /M tokens
Output
- /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Gemini 2.0 Flash Thinking Experimental (Dec '24)
Gemini 1.5 Pro (Sep '24)
¥2.5
Gemini 2.0 Pro Experimental (Feb '25)

Basic Parameters

PALM-2Technical Parameters
Parameter Count
Not Announced
Context Length
8,000 tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
Release Date
2023-05-10
Response Speed
0 tokens/s

Benchmark Scores

Below is the performance of PALM-2 in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
21
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
HLE
-
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
-
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
-
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)
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