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Nova Lite

画像、動画、文書、テキストを高速かつ低コストで処理できるマルチモーダルモデルです。
Intelligence(Relatively Weak)
Speed(Fast)
Input Supported Modalities
Yes
Is Reasoning Model
300,000
Context Window
2,048
Maximum Output Tokens
-
Knowledge Cutoff

Pricing

¥0.43 /M tokens
Input
¥1.73 /M tokens
Output
¥0.76 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Nova Premier
Nova Lite
¥0.06
Nova Pro
¥0.8

Basic Parameters

Nova LiteTechnical Parameters
Parameter Count
Not Announced
Context Length
300.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
100
Release Date
2024-12-03
Response Speed
230.96,417 tokens/s

Benchmark Scores

Below is the performance of Nova Lite in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
32.53
Large Language Model Intelligence Level
Coding Index
15.3
Indicator of AI model performance on coding tasks
Math Index
43.57
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
59
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
43.3
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
4.6
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
16.7
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
84.1
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
76.5
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
10.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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