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ERNIE 4.5 Turbo 128K
ERNIE 4.5 Turbo 128K
A new-generation multimodal inference model launched by Baidu. It extends the 128K ultra-long context window on the basis of the ERNIE 4.0 architecture, supporting cross-modal semantic association and complex long text generation. The input price is 50% lower than that of the basic model, and the comprehensive performance reaches the same level as DeepSeek V3.
Intelligence(Strong)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
128,000
Maximum Output Tokens
2024-10-31
Knowledge Cutoff
Pricing
￥4 /M tokens
Input
￥16 /M tokens
Output
￥7 /M tokens
Blended Price
Quick Simple Comparison
ERNIE-4.5-Turbo-128K
￥0.56
ERNIE-4.5-Turbo
￥0.56
ERNIE 4.5 Turbo VL
￥0.42
Basic Parameters
GPT-4.1 Technical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
2024-10-31
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
0
Release Date
2025-03-17
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
9230
Large Language Model Intelligence Level
Coding Index
8970
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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