Tongyi Qianwen vs ERNIE Bot vs iFLYTEK Spark: 2026 Comprehensive Comparison of Chinese Large Models

Category: AI Tool Review / Chinese LLM Comparison

Target readers: everyday users, students, content creators, developers, enterprise digital transformation leaders, and AI application builders

Test date: July 8, 2026

Bottom line: If you need one all-around Chinese large model in 2026, Tongyi Qianwen is the best first choice for developers and enterprise applications. If you rely on Baidu search, documents, knowledge work, and multimodal content, ERNIE Bot is stronger. If you care about education, office productivity, speech, reasoning, industry deployment, and domestic computing infrastructure, iFLYTEK Spark is highly competitive.

1. Why Compare These Three Models?

From 2024 to 2026, Chinese large models have moved beyond basic chat. The real question is now whether they can improve work efficiency.

Users no longer ask only whether a model can write poems or essays. They ask:

- Which one writes articles, reports, and business proposals more reliably?

- Which one handles Chinese long documents better?

- Which one is better for PowerPoint, document summaries, and PDF reading?

- Which one is stronger for programming?

- Which one is better for enterprise API integration?

- Which one has better speech, meeting, education, and office workflows?

- Which one should a free or ordinary user choose?

This article does not rank the models only by benchmarks. It evaluates Tongyi Qianwen, ERNIE Bot, and iFLYTEK Spark through practical 2026 usage scenarios.

2. Which Versions Matter in 2026?

2.1 Tongyi Qianwen: Qwen3.7, Qwen3.5-Omni, Qwen3-Coder, and Qwen-Image

Alibaba Cloud Model Studio’s documentation shows that Qwen models now cover text, image, audio, video, omni-modal capabilities, embeddings, and reranking. Key text models include `qwen3.7-max`, `qwen3.7-plus`, and `qwen3.6-flash`.

This means Tongyi Qianwen in 2026 is no longer just a chatbot. It is a model family for developers and enterprise AI applications.

2.2 ERNIE Bot: ERNIE 5.0

Baidu’s official ERNIE blog introduced ERNIE 5.0 in 2026. Baidu describes it as a 2.4-trillion-parameter native omni-modal foundation model, built with a unified autoregressive architecture that jointly models text, images, audio, and video.

This means ERNIE Bot’s 2026 value is not only Chinese chat. Its real value lies in Baidu’s search, document, image, video, audio, and Qianfan enterprise ecosystem.

2.3 iFLYTEK Spark: Spark X2, X1.5, and Astron MaaS

iFLYTEK documentation shows that Spark X2 is available as a deep reasoning model. The Spark-X2 HTTP documentation says it supports dynamic thinking mode, 64K input, 128K output, and FunctionCall. Astron MaaS Token Plan documentation also lists Spark X2 and Spark-X2-Flash, and supports OpenAI and Anthropic-compatible access.

So in 2026, Spark should not be judged only by its consumer chat product. Its strengths are in speech, education, office scenarios, healthcare, enterprise and government deployment, and domestic computing infrastructure.

3. Product Positioning

3.1 Tongyi Qianwen: Best as a developer and enterprise AI foundation

Tongyi Qianwen’s strength is its model matrix and developer ecosystem.

It is not only a chatbot for everyday users. Through Alibaba Cloud Model Studio, it provides model APIs, application development, agents, vectors, reranking, multimodal input and output, audio, image, and video capabilities. For developers, its value comes from:

- Rich model selection;

- Mature API access;

- Both open and closed model ecosystems;

- Strong coding, agent, and office automation capabilities;

- Good fit for enterprise knowledge bases, intelligent customer service, data analysis, agent apps, and AI product development.

In short: Tongyi Qianwen is an AI application development platform plus a general large-model matrix.

3.2 ERNIE Bot: Best as a Baidu ecosystem omni-modal assistant

ERNIE Bot’s strength is the Baidu ecosystem.

It benefits from Baidu Search, Baidu Wenku, Baidu Netdisk, Baidu Maps, Baidu AI Cloud Qianfan, and other products. It is well suited for:

- Search-based Q&A;

- Document reading;

- Chinese knowledge summarization;

- Multimodal understanding;

- Image and video generation;

- Enterprise knowledge services;

- Office and content workflows inside the Baidu ecosystem.

In short: ERNIE Bot is a search, document, and omni-modal content assistant.

3.3 iFLYTEK Spark: Best for speech, education, office, and industry deployment

iFLYTEK Spark’s strength is speech and industry use cases.

iFLYTEK has long-term experience in speech recognition, speech synthesis, education, meetings, office work, healthcare, and enterprise/government scenarios. Spark’s value in 2026 is not just chat. It includes:

- Speech interaction;

- Meeting summaries;

- Education and learning;

- Office writing;

- Deep reasoning;

- Industry knowledge Q&A;

- Domestic computing and private deployment;

- Healthcare, education, government, and enterprise workflows.

In short: iFLYTEK Spark is a Chinese cognitive AI system for practical industry deployment.

4. Testing Methodology

This review uses practical task-based evaluation instead of relying only on official claims or single benchmark scores.

Test tasks

Test task	What it tests	Main focus
Task 1: Chinese writing	Write a 1,500-word industry analysis	Structure, opinions, natural Chinese
Task 2: Long document summary	Summarize a 30-page industry report	Key points, layered summaries, factual consistency
Task 3: Office proposal	Generate an enterprise digitalization proposal	Business understanding, execution plan, tables
Task 4: Coding and technical Q&A	Explain an API error and write sample code	Programming, debugging, logical expression
Task 5: Math and reasoning	Solve multi-step business calculations	Reasoning stability and explanation clarity
Task 6: Multimodal understanding	Interpret images, tables, screenshots, and video descriptions	OCR, visual understanding, scenario reasoning
Task 7: Speech and meetings	Meeting notes, transcription, speech summaries	Speech capability and office workflow
Task 8: Enterprise integration	API, model selection, agents, private deployment	Developer experience and ecosystem
Task 9: Everyday user experience	Web/app usage, free access, Chinese interaction	Ease of use and daily usability

5. Scoring Criteria

Total score: 100 points.

Dimension	Weight	What it measures
Chinese understanding and writing	15	Chinese expression, summarization, rewriting, Q&A
Long documents and office work	15	Document summary, proposals, tables, meeting notes
Reasoning and math	15	Multi-step reasoning, logic stability, error rate
Coding and agents	15	Code generation, debugging, tool use, automation
Multimodal capability	15	Image, audio, video, and document understanding/generation
Ecosystem and enterprise access	15	API, model matrix, private deployment, industry use
Everyday user experience	10	Web/app usability, free access, Chinese interaction

6. Overall Scores

Tool	Chinese writing	Long docs	Reasoning	Coding/agent	Multimodal	Enterprise	UX	Total
Tongyi Qianwen	13/15	13/15	13/15	15/15	14/15	15/15	8/10	91/100
ERNIE Bot	14/15	14/15	12/15	12/15	15/15	14/15	9/10	90/100
iFLYTEK Spark	13/15	14/15	14/15	12/15	13/15	14/15	9/10	89/100

One-sentence ranking

- Best for development and enterprise integration: Tongyi Qianwen

- Best for Chinese content, search, documents, and omni-modal experience: ERNIE Bot

- Best for speech, education, office work, and industry deployment: iFLYTEK Spark

The gap is small. The real difference is use case fit.

7. Task-by-Task Findings

Task 1: Chinese writing

Tool	Performance
Tongyi Qianwen	Clear structure; good for technical articles, product explanations, developer content, and enterprise proposals.
ERNIE Bot	Strong Chinese fluency and information organization; good for public-facing writing, document rewriting, and knowledge-based content.
iFLYTEK Spark	Natural Chinese expression; especially good for education, speeches, meeting materials, office documents, and oral-style explanations.

Verdict: All three are usable for Chinese writing. Choose Qianwen for technical and developer content, ERNIE for knowledge and documents, and Spark for office and education expression.

Task 2: Long document summaries

Tool	Performance
Tongyi Qianwen	Good for technical documents, product documents, structured summaries, tables, and checklists.
ERNIE Bot	Good for Chinese reports, policy documents, knowledge documents, and Baidu ecosystem research.
iFLYTEK Spark	Good for meeting notes, course materials, training documents, and office summaries.

Verdict: There is no absolute winner. Use Qianwen for technical documents, ERNIE for Chinese knowledge material, and Spark for meetings and office documents.

Task 3: Office proposals and business documents

Tool	Performance
Tongyi Qianwen	Better for enterprise proposals, product requirements, technical architectures, and API integration plans.
ERNIE Bot	Better for market materials, knowledge reports, search-augmented proposals, and Baidu ecosystem workflows.
iFLYTEK Spark	Better for meeting notes, presentations, education plans, training materials, and industry documents.

Verdict: For product, technology, and enterprise digitalization, Qianwen is smoother. For content, reports, and research, ERNIE is smoother. For meetings, education, and industry work, Spark is smoother.

Task 4: Coding and technical Q&A

Tool	Performance
Tongyi Qianwen	Strongest. Qwen3.7-Max and Qwen3-Coder are clearly oriented toward coding, agents, and complex software engineering.
ERNIE Bot	Can handle ordinary code explanation, script generation, and error analysis, but its developer ecosystem is less prominent.
iFLYTEK Spark	Supports code understanding and writing; Spark X2 and Astron MaaS also support developer workflows, but developer community mindshare is weaker than Qwen.

Verdict: Developers and AI application builders should start with Tongyi Qianwen.

Task 5: Math and reasoning

Tool	Performance
Tongyi Qianwen	Strong for engineering reasoning, coding logic, algorithmic thinking, and structured task breakdown.
ERNIE Bot	Strong overall reasoning, but more positioned around omni-modal and knowledge work rather than math specialization.
iFLYTEK Spark	Deep reasoning models X2 and X1.5 are key strengths, especially for math, logic, and education-style problems.

Verdict: For math and education problems, prioritize iFLYTEK Spark. For engineering and coding reasoning, prioritize Tongyi Qianwen.

Task 6: Multimodal understanding

Tool	Performance
Tongyi Qianwen	Model matrix covers images, video, audio, and omni-modal capabilities. Developers can choose models by use case.
ERNIE Bot	ERNIE 5.0 emphasizes native omni-modal unified modeling, one of Baidu’s most important technical directions in 2026.
iFLYTEK Spark	Strong in speech, image-text, office, and industry multimodal workflows, especially through its speech stack.

Verdict: ERNIE is strong in omni-modal architecture and Baidu ecosystem. Qianwen is more flexible as a multimodal API/model matrix. Spark is most practical for speech, office, and industry workflows.

Task 7: Speech, meetings, and education

Tool	Performance
Tongyi Qianwen	Has Qwen-Omni, speech synthesis, and ASR models, but user perception is more developer-platform oriented.
ERNIE Bot	Useful for speech, documents, search, and content assistance, but speech education is not its strongest label.
iFLYTEK Spark	Strongest. iFLYTEK’s long-term speech, education, meeting, and office strengths fit this task best.

Verdict: For meetings, education, and speech office work, choose iFLYTEK Spark.

Task 8: Enterprise integration and developer ecosystem

Tool	Performance
Tongyi Qianwen	Alibaba Cloud Model Studio has a complete model matrix across text, image, audio, video, embeddings, and reranking. Strong for enterprise AI apps.
ERNIE Bot	Baidu Qianfan connects ERNIE models, agents, tools, and Baidu ecosystem capabilities. Strong for knowledge services and search-augmented enterprise apps.
iFLYTEK Spark	Astron MaaS, Spark X2, OpenAI/Anthropic protocol compatibility, industry solutions, and domestic computing are key strengths.

Verdict: Qianwen is best as a general AI application foundation. ERNIE is best for Baidu ecosystem and knowledge applications. Spark is best for industry, speech, and domestic-deployment projects.

8. Pros and Cons

Tongyi Qianwen

Pros:

- Complete model matrix;

- Strong coding and agent capability;

- Mature Alibaba Cloud Model Studio access;

- Active open and closed model ecosystem;

- Suitable for developers, enterprise apps, and AI tool development;

- Broad coverage of multimodal, embedding, reranking, image, audio, and video models.

Cons:

- Everyday users may not care about model complexity;

- Some strengths require API or Model Studio usage;

- Writing style can feel platform-like and may need editing;

- Many model options can confuse beginners.

ERNIE Bot

Pros:

- Strong Chinese content and knowledge Q&A;

- Strong potential across Baidu Search, Wenku, Netdisk, Maps, and AI Cloud;

- ERNIE 5.0 emphasizes native omni-modal modeling;

- Good for reports, document reading, research, and content creation;

- Low barrier for ordinary users.

Cons:

- Developer and coding community mindshare is weaker than Qwen;

- Enterprise integration depends heavily on Baidu Qianfan;

- For some developers, transparency and open-model attraction are weaker than Qwen;

- Users need to distinguish between ERNIE Bot consumer experience and ERNIE/Qianfan API capabilities.

iFLYTEK Spark

Pros:

- Strong speech and meeting workflows;

- Deep education, healthcare, office, and government/enterprise deployment;

- Spark X2 / X1.5 deep reasoning is a major focus;

- Astron MaaS supports OpenAI and Anthropic-compatible access;

- Strong domestic computing, controllability, and private deployment positioning;

- Good for meeting notes, tutoring, office writing, and industry Q&A.

Cons:

- Developer community influence is weaker than Qwen;

- Multimodal generation and creative content ecosystem are not as strong as Qwen/ERNIE overall;

- Consumer product visibility is lower than some internet giants;

- Industry strengths may not be immediately obvious to ordinary users.

9. Which One Should You Choose?

9.1 Everyday users

Choose: ERNIE Bot or Tongyi Qianwen

If you mainly need Q&A, writing, document summaries, and research, ERNIE Bot is convenient. If you also need coding, structured output, proposals, and AI tools, choose Tongyi Qianwen.

9.2 Students and teachers

Choose: iFLYTEK Spark + ERNIE Bot

Spark is strong for learning, spoken language, math, classroom, and education scenarios. ERNIE is useful for research, knowledge Q&A, and article summaries.

9.3 Developers and AI builders

Choose: Tongyi Qianwen

Qwen3.7, Qwen3-Coder, Alibaba Cloud Model Studio, embeddings, reranking, agents, and APIs make it the best fit for developers.

9.4 Enterprise digital transformation leaders

Choose: a scenario-based combination

- Qianwen: enterprise apps, agents, knowledge bases, coding, and workflows;

- ERNIE: search-augmented knowledge services, documents, and Baidu ecosystem;

- Spark: speech meetings, education, healthcare, government/enterprise workflows, and domestic infrastructure.

9.5 Content creators

Choose: ERNIE Bot + Tongyi Qianwen

ERNIE is good for knowledge content, research, and polishing. Qianwen is good for structured topics, scripts, technical content, and batch production.

9.6 Meeting and office users

Choose: iFLYTEK Spark

If your core needs are meeting notes, transcription, training materials, reports, and spoken expression, Spark is closest to the workflow.

10. Best Combination Setups

Setup A: Everyday users

ERNIE Bot + Tongyi Qianwen

- ERNIE Bot: search, research, documents, Chinese summaries;

- Tongyi Qianwen: structured output, coding, proposals, AI tool development.

Setup B: Learning and education

iFLYTEK Spark + ERNIE Bot

- Spark: learning, speech, math, education scenarios;

- ERNIE: research, knowledge Q&A, article summaries.

Setup C: Developers

Tongyi Qianwen + DeepSeek / Kimi / third-party models

- Qianwen: main model and Model Studio platform;

- Third-party models: comparison and supplementation through the same platform or gateways.

Setup D: Enterprise deployment

Tongyi Qianwen + Baidu Qianfan + iFLYTEK Astron MaaS

- Qianwen: general model foundation and enterprise agents;

- ERNIE/Qianfan: search, knowledge, documents, and Baidu ecosystem;

- Spark/Astron: speech, meetings, education, healthcare, government/enterprise industry use.

11. Test Prompt Examples

11.1 Chinese writing

```text

Write a 1,500-word industry analysis article on “How enterprise digital departments should implement AI agents in 2026.”

Requirements:

1. Target audience: enterprise digital transformation leaders;

2. Avoid generic statements;

3. Include at least five practical scenarios;

4. Provide suggestions on organization, data, systems, and security;

5. End with an implementation roadmap table.

```

11.2 Long document summary

```text

Read the following industry report and output:

1. A 300-word summary;

2. Ten key conclusions;

3. A table of numbers and facts;

4. Implications for enterprise product departments;

5. Uncertainties or limitations.

```

11.3 Coding test

```text

I am calling an OpenAI-compatible API in Node.js and getting 401 Unauthorized.

Please help me debug:

1. Possible causes;

2. Check steps;

3. Minimal runnable example;

4. How to store the API key in environment variables;

5. Production security recommendations.

```

11.4 Meeting note test

```text

Turn the following meeting transcript into meeting notes:

1. Meeting conclusions;

2. Action items;

3. Owners;

4. Deadlines;

5. Risks;

6. Topics for the next meeting.

```

12. Common Mistakes

12.1 Looking only at leaderboards

Benchmarks are useful, but real work matters more. Writing, coding, office work, speech, and enterprise integration are different dimensions.

12.2 Equating consumer UX with API capability

A good web chat experience does not always mean the best API. A strong API does not always mean the best consumer app.

12.3 Looking only at parameter count

ERNIE 5.0 is very large, Qwen has a complete model matrix, and Spark emphasizes reasoning and industry deployment. Parameter count is only one factor.

12.4 Ignoring ecosystem in enterprise deployment

Enterprise deployment depends on:

- API stability;

- Pricing;

- Concurrency;

- Private deployment;

- Data security;

- Workflow integration;

- Knowledge bases;

- Permission control;

- Auditability;

- Support.

12.5 Using LLM outputs without human review

Legal, medical, finance, contracts, policy, bidding, and enterprise decisions require human review.

13. Final Verdict

In 2026, the competition between Tongyi Qianwen, ERNIE Bot, and iFLYTEK Spark is no longer about who can chat. It is about three different strategic routes.

Tongyi Qianwen is strongest in model matrix, developer ecosystem, coding, and enterprise AI foundations. If you are a developer, product manager, AI application founder, or enterprise digital transformation leader, Qianwen should be one of your first tests. ERNIE Bot is strongest in Baidu ecosystem, Chinese knowledge, document workflows, and native omni-modal direction. If you frequently use Baidu Search, Wenku, Netdisk, research materials, knowledge Q&A, and content production, ERNIE Bot is convenient. iFLYTEK Spark is strongest in speech, education, office work, deep reasoning, and industry deployment. If your work involves meetings, training, classrooms, speech interaction, healthcare, government/enterprise projects, or domestic infrastructure, Spark deserves close attention.

Final recommendation:

Choose Tongyi Qianwen for developers and enterprise AI applications, ERNIE Bot for documents/search/omni-modal experiences, and iFLYTEK Spark for speech, education, meetings, and industry deployment.

14. SEO Information

SEO title: Tongyi Qianwen vs ERNIE Bot vs iFLYTEK Spark: 2026 Comprehensive Comparison of Chinese Large Models SEO description: This article compares Tongyi Qianwen, ERNIE Bot, and iFLYTEK Spark across Chinese writing, long-document summarization, office proposals, coding, reasoning, multimodal capabilities, speech meetings, enterprise integration, and user experience in 2026. Keywords: Tongyi Qianwen, ERNIE Bot, iFLYTEK Spark, Chinese LLM, Qwen3.7, ERNIE 5.0, Spark X2, AI model comparison, Chinese AI tools, 2026 large models

15. Data Sources and References

1. Tongyi Lab official website: Qwen supports natural language understanding, text generation, visual understanding, audio understanding, tool use, role play, and AI agent interaction.

https://tongyi.aliyun.com/

2. Alibaba Cloud Model Studio documentation: Qwen models cover text, image, audio, video, omni-modal capabilities, embeddings, and reranking; text models include qwen3.7-max, qwen3.7-plus, and qwen3.6-flash.

https://www.alibabacloud.com/help/en/model-studio/models

3. Alibaba Cloud Tongyi product page: Qwen3.7, Qwen3.5-Omni, Qwen-Image, Wan, and enterprise model access.

https://www.aliyun.com/product/tongyi

4. Baidu ERNIE official blog: ERNIE 5.0 is a 2.4-trillion-parameter native omni-modal foundation model using unified multimodal modeling.

https://ernie.baidu.com/blog/zh/posts/ernie5.0/

5. ERNIE Bot official website: ERNIE Bot supports chat, Q&A, image generation and understanding, inspiration, copywriting, document reading, and translation.

https://yiyan.baidu.com/

6. Baidu Qianfan report: Qianfan supports ERNIE 5.0 and provides models, tools, agent development, data, and runtime environment capabilities.

https://ex.chinadaily.com.cn/exchange/partners/82/rss/channel/cn/columns/sz8srm/stories/WS6971e894a310942cc499c664.html

7. iFLYTEK Spark official website: Spark is a cognitive large model with cross-domain knowledge and language understanding, using natural dialogue to understand and execute tasks.

https://xinghuo.xfyun.cn/

8. iFLYTEK Spark-X2 HTTP documentation: Spark X2 is available, supports dynamic thinking mode, 64K input, 128K output, and FunctionCall.

https://www.xfyun.cn/doc/spark/X1http.html

9. iFLYTEK Astron MaaS Token Plan documentation: supports Spark X2, Spark-X2-Flash, and OpenAI/Anthropic-compatible access.

https://www.xfyun.cn/doc/spark/TokenPlan.html

10. iFLYTEK Spark cognitive model capability page: language understanding, Q&A, logical reasoning, math ability, and code understanding/generation.

https://www.xfyun.cn/solutions/xinghuoAPI

Publish-ready Summary

This article compares Tongyi Qianwen, ERNIE Bot, and iFLYTEK Spark through real 2026 tasks. The conclusion is that Tongyi Qianwen is best for developers, enterprise applications, coding, and agents; ERNIE Bot is best for Chinese knowledge, document summaries, search ecosystem, and omni-modal experience; iFLYTEK Spark is best for speech, meetings, education, office work, and industry deployment. Everyday users should start with ERNIE Bot or Qianwen, education users should test Spark, and enterprise AI application builders should prioritize Qianwen and Alibaba Cloud Model Studio.