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ERNIE X1 Turbo 32K
A deep inference model launched by Baidu. Combined with the architecture optimization of ERNIE 4.5, it extends from the 3000-token context window to 32K, supporting the optimization of logical coherence in long texts. The input price is reduced by 50% compared to the basic model, and the comprehensive inference ability reaches the same level as DeepSeek R1 50002
Intelligence(Medium)
Speed(Relatively Slow)
Input Supported Modalities
No
Is Reasoning Model
32,000
Context Window
32,000
Maximum Output Tokens
2024-10-31
Knowledge Cutoff
Pricing
￥2 /M tokens
Input
￥8 /M tokens
Output
￥3.5 /M tokens
Blended Price
Quick Simple Comparison
ERNIE-4.5-Turbo-128K
￥0.56
ERNIE-4.5-Turbo
￥0.56
ERNIE-X1-Turbo-32K
￥0.28
Basic Parameters
ERNIE-X1-Turbo-32KTechnical Parameters
Parameter Count
Not Announced
Context Length
32.00k tokens
Training Data Cutoff
2024-10-31
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
8,500
Release Date
2025-03-17
Response Speed
68.5 tokens/s
Benchmark Scores
Below is the performance of ERNIE-X1-Turbo-32K in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
46.7
Large Language Model Intelligence Level
Coding Index
41.9
Indicator of AI model performance on coding tasks
Math Index
78.2
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)
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