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Speech 02 Turbo
Speech 02 Turbo
An efficient speech synthesis model supporting 24 languages, optimized for low-latency real-time scenarios, supporting 10-second fast voice cloning and seamless multi-language switching
Intelligence(Relatively Strong)
Speed(Relatively Slow)
Input Supported Modalities
No
Is Reasoning Model
200,000
Context Window
200,000
Maximum Output Tokens
2025-04-30
Knowledge Cutoff
Pricing
￥0.85 /M tokens
Input
￥3.4 /M tokens
Output
￥1.99 /M tokens
Blended Price
Quick Simple Comparison
Speech-02-Turbo
￥0.12
Basic Parameters
GPT-4.1 Technical Parameters
Parameter Count
Not Announced
Context Length
200.00k tokens
Training Data Cutoff
2025-04-30
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
8,500
Release Date
2025-05-16
Response Speed
62.4 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
7830
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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