What is iFlytek Spark X1
iFlytek Spark X1 is the first domestic large model trained on a fully domestic computing power platform with deep thinking and reasoning capabilities, released by iFlytek on January 15, 2025. In the problem-solving process, it is closer to the human "slow thinking" approach, achieving industry-leading results with less computing power, and ranking first domestically in multiple indicators. After a new upgrade, Spark X1 has significantly improved performance on general tasks such as mathematics, code, logical reasoning, text generation, language understanding, and knowledge Q&A, with overall performance comparable to OpenAI o1 and DeepSeek R1. It debuts a unified fast-thinking and slow-thinking model, supports two thinking modes, and is easy to deploy privately; the newly upgraded model customization and optimization toolchain supports two optimization schemes, SFT and reinforcement learning, with a low customization threshold. Spark X1 incorporates more complex scenario data, improving generalization, and further expands its leading advantage in key industries such as education, healthcare, and justice. The Spark X1 API has also been launched on the iFlytek Open Platform, providing services to developers and enterprises. In terms of applications,iFlytek Spark X1 has already been implemented in multiple real scenarios such as education and healthcare, helping high school mathematics intelligent teaching assistants deploy in pilot areas and improving the accuracy of AI learning machines' diagnosis and recommendation guidance for children's learning.
Main features of iFlytek Spark X1
- Deep reasoning capability: Possesses deep thinking and reasoning capabilities, able to conduct in-depth analysis and logical reasoning on complex problems, providing users with accurate and insightful answers and solutions.
- Problem-solving approach: Compared with general large models, iFlytek Spark X1's problem-solving process is closer to the human "slow thinking" approach, able to analyze and understand problems more deeply and provide more accurate and reasonable answers.
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Unified fast-thinking and slow-thinking model: One model supports two thinking modes, easy to deploy privately, and can be deployed with 4 cards (Huawei 910B). Model customization and optimization supports two optimization schemes, SFT and reinforcement learning.
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Complex problem decomposition: Able to break down and simplify complex problems step by step, analyze gradually, and simplify the complex.
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Self-exploration and reflection verification: Conducts self-exploration and reflection verification during the reasoning process, and performs reinforcement training based on feedback on whether the answer is correct.
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Language understanding: Able to accurately understand complex semantics, including puns, internet memes, etc., and provide precise answers.
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Text generation: Supports text generation in multiple styles, such as parallel prose creation, with output content and format more in line with user instruction requirements.
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Mathematical problem solving: Performs excellently in handling competition-level mathematical problems, with a problem-solving process close to the human "slow thinking" approach, providing detailed solution steps.
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Image input and reasoning: Supports image input, able to perform deep reasoning and associative thinking on image content.
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Speech simultaneous interpretation: Supports end-to-end speech-to-speech simultaneous interpretation, with the fastest latency less than 5 seconds, reaching the level of human expert interpreters.
- Computing power requirements: While achieving industry-leading results, iFlytek Spark X1 uses less computing power, making it more cost-effective and scalable for large-scale applications.
- Chinese mathematical capability: It demonstrates outstanding performance in Chinese mathematical capabilities, ranking first in China. In test sets such as primary and secondary school, primary and secondary school competitions, and university competitions in the Chinese context, as well as the AIME and MATH 500 test sets in the English context, it holds a leading domestic position on multiple indicators.
The Technical Principles of iFlytek Spark X1
- Deep Learning and Reasoning Algorithms: The iFlytek Spark X1 model adopts advanced deep learning technology and combines it with complex neural network architectures, enabling it to process and analyze large amounts of data. By simulating the human way of "slow thinking," it performs logical reasoning and problem-solving, which differs from traditional fast-response large models.
- Fully Domestic Computing Power Platform: iFlytek Spark X1 is the first domestic large model trained entirely on a fully domestic computing power platform.
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Large-Scale Multi-Stage Reinforcement Learning Training Method: Through a large-scale multi-stage reinforcement learning method based on problem difficulty, the model comprehensively improves its effectiveness and generalization in scenarios such as complex reasoning, mathematics, code, and language understanding.
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Unified Training Method Based on Fast and Slow Thinking: A hybrid training method for fast and slow thinking under a unified model is proposed, fully leveraging the mutually reinforcing effects of fast and slow thinking data, and enabling system instructions to control whether the model engages in deep thinking.
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Engineering and Technical System Innovation: Through innovations such as dynamic VRAM offloading technology, coordinated training and inference on shared cards, and an inference engine hibernation mechanism, it ensures efficient, long-term, and stable training based on domestic computing power.
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Multimodal Capabilities: iFlytek Spark X1 supports multimodal input and expression, and can process various types of data such as text, speech, and images.
- Data Training: Through training on massive amounts of data, including various types of data such as text, speech, and images, the model achieves emergent intelligence across multiple domains.
- Algorithm Optimization: iFlytek continuously optimizes its algorithms, enabling iFlytek Spark X1 to achieve industry-leading results with less computing power.
How to Use iFlytek Spark X1
- Personal Use: You can enteriFlytek Sparkon the web and app, and search for the "Deep Reasoning Model X1" agent to experience it.
- Enterprise and Developer Users: The Spark X1 API is free for a limited time for one month (until May 21),iFlytek Nebula MaaS Platformprovides Spark X1 fine-tuning services.
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Private Deployment：
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Spark X1 is the first to launch a unified fast-thinking and slow-thinking model, with one model supporting both thinking modes at the same time. Four cards (Huawei 910B) are enough to deploy the full version of Spark X1, making private deployment simple and convenient.
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The newly upgraded model customization and optimization toolchain supports two model customization and optimization solutions, SFT and reinforcement learning. Sixteen cards (Huawei 910B) are enough to complete industry customization and optimization, lowering the customization threshold.
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API Service：
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The Spark X1 API has also been launched on the iFlytek Open Platform, providing services to developers and enterprises. You can visit the iFlytek Open Platform, register an account, and log in.
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Create a new application and authorize the application to obtain the App ID and key.
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Use the App ID and key to call the Spark X1 API and integrate the model capabilities into your own application or service.
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Application Scenarios of iFlytek Spark X1
- Education: It can help students better understand math problems, provide personalized learning suggestions, and improve learning outcomes.
- Intelligent Teaching Assistant: In terms of the math teaching assistant, it can achieve multiple solutions to one problem, connect teaching knowledge, and expand students' higher-order thinking, among other functions.
- AI Learning Machine: It promotes more accurate diagnosis and recommendation guidance by the iFLYTEK AI Learning Machine for children's learning situations.
- Essay Correction and Language Learning: Based on the language capabilities of iFlytek Spark X1, the AI Learning Machine can deeply understand essays and automatically generate comments. It can provide a free conversation environment to help students improve their speaking and listening skills.
- Medical Assistance: It can assist doctors in disease diagnosis, formulating treatment plans, etc., injecting new vitality into the development of the healthcare industry.
- Health Management Services: iFlytek Spark X1 can provide patients with health management services such as diet and exercise suggestions, medication guidance, intelligent reminders, indicator monitoring, and post-discharge follow-up.