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Baichuan4 Turbo
Baichuan4 Turbo
A new-generation search-enhanced Chinese large model launched by Baichuan Intelligence, featuring enhanced reasoning capabilities and optimized multilingual processing, and supporting a 192K long context window
Intelligence(Relatively Strong)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
192,000
Context Window
42,000
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
Baichuan4-Turbo
Basic Parameters
GPT-4.1 Technical Parameters
Parameter Count
Not Announced
Context Length
192.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
0
Release Date
2024-05-22
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
8064
Large Language Model Intelligence Level
Coding Index
9540
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
79.1
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
90.3
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
89.6
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
88.2
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
91.4
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
85.2
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
86.5
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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