ChatGPT Alternatives Deep Dive: Development Status and Potential of Domestic AI Chat Models

OpenAI’s ChatGPT hit 100 million monthly active users within two months of launch, a pace that took TikTok nine months and Instagram two and a half years, according to UBS Global Research (2023). Yet by mid-2024, China’s domestic AI chat models had collectively surpassed that user milestone in a regulatory environment that requires government approval for public deployment — 117 models had been registered with the Cyberspace Administration of China by December 2023, per a CAICT white paper (2024). This divergence in speed and structure raises a practical question: for English-speaking tech professionals evaluating AI chat tools, how do Baidu’s ERNIE Bot, Alibaba’s Tongyi Qianwen, ByteDance’s Doubao, and Tencent’s Hunyuan stack up against ChatGPT on concrete benchmarks? This deep dive scores each model on reasoning, coding, multilingual accuracy, and cost, using third-party test data from SuperCLUE (a Chinese-language benchmark consortium) and internal evaluations published by the model developers themselves. You will see specific MMLU scores, pricing per million tokens, and real-world latency numbers — no vague claims.

ERNIE Bot (Baidu) — First-Mover with Ecosystem Lock-In

Baidu released ERNIE Bot 3.5 in August 2023, making it the first domestically approved public AI chat model in China. By March 2024, ERNIE Bot had accumulated over 200 million registered users, according to Baidu’s Q1 2024 earnings report. The model is tightly integrated with Baidu’s search engine, cloud services, and Apollo autonomous driving platform, creating a closed-loop data ecosystem that competitors cannot replicate.

Core benchmark performance: On the SuperCLUE Chinese Multitask Benchmark (March 2024), ERNIE Bot 3.5 scored 81.2 overall, behind GPT-4’s 88.7 but ahead of most domestic peers. On MMLU (English multitask), ERNIE Bot 4.0, released in February 2024, scored 78.4 — a 4.2-point improvement over version 3.5 but still 8.1 points below GPT-4 Turbo’s 86.5. Coding capability measured on HumanEval (Python) reached 62.3% pass@1, compared to GPT-4’s 87.1%.

Pricing and Latency

ERNIE Bot charges ¥0.004 per 1,000 tokens for the base model (ERNIE 3.5) and ¥0.012 for ERNIE 4.0, roughly 40–60% cheaper than ChatGPT’s ¥0.01–0.03 equivalent after currency conversion. Latency averages 1.8 seconds for a 200-token response, versus ChatGPT’s 1.2 seconds on GPT-4 Turbo. For bulk API calls, Baidu offers a 30% discount on annual commitments, making it cost-competitive for Chinese-language-heavy workloads.

Weakness: English and Creative Writing

ERNIE Bot’s English fluency scores on the SuperCLUE English subset are 12.4 points below its Chinese scores. Creative writing tasks — poetry, narrative generation, marketing copy — produce more formulaic outputs than GPT-4, with lower lexical diversity (type-token ratio 0.38 vs. 0.46 for ChatGPT). If your primary use case is English-language content, ERNIE Bot is not your first choice.

Tongyi Qianwen (Alibaba) — Open-Source Strategy and Enterprise Focus

Alibaba Cloud launched Tongyi Qianwen (Qwen) in April 2023, then open-sourced the 7B and 14B parameter versions in August 2023 under the Apache 2.0 license. This move targeted developers who want to fine-tune models on private data without sending queries to a cloud API. By December 2023, Qwen had been downloaded over 10 million times from Hugging Face and ModelScope, per Alibaba’s developer blog.

Benchmark performance: Qwen-72B (the largest closed-source variant) scored 82.3 on SuperCLUE (March 2024) and 75.1 on MMLU. On GSM8K (math reasoning), Qwen-72B achieved 84.6%, beating ERNIE Bot 4.0’s 79.2% but trailing GPT-4’s 92.0%. For code generation, Qwen-72B scored 58.9% pass@1 on HumanEval and 49.2% on MBPP (Mostly Basic Python Programming), indicating solid but not exceptional coding ability.

Open-Source Advantage

The open-source Qwen-7B and Qwen-14B allow you to run inference on a single A100 GPU (80GB) for the 7B model, with inference speeds of 35–40 tokens per second using vLLM. This makes Qwen the only domestic model that can be fully self-hosted for privacy-sensitive applications — healthcare records, financial compliance, internal knowledge bases. Alibaba also provides a commercial API (Qwen-72B-chat) at ¥0.008 per 1,000 tokens, comparable to ERNIE Bot’s mid-tier pricing.

Limitation: Multilingual Support

Qwen’s training data is 85% Chinese and 10% English, with only 5% other languages. On the Flores-200 machine translation benchmark, Qwen-72B scored 38.2 BLEU for Chinese-to-English, versus GPT-4’s 44.7. For Japanese, Korean, or Spanish tasks, performance drops sharply — Spanish BLEU is 29.1. If your workflow involves non-English, non-Chinese languages, Qwen is a weak option.

Doubao (ByteDance) — Consumer-First, Speed-Optimized

ByteDance’s Doubao launched in August 2023 as a mobile-first AI assistant embedded in the Douyin (TikTok China) ecosystem. By January 2024, Doubao reported 50 million daily active users, per ByteDance’s internal metrics shared at a developer conference. The model is optimized for short-form content generation — captions, comments, summaries — and prioritizes response speed over raw benchmark scores.

Benchmark performance: Doubao scored 76.8 on SuperCLUE (March 2024), the lowest among the four models reviewed here. On MMLU, it scored 69.3. Coding benchmarks are not publicly reported; ByteDance instead emphasizes “practical dialogue metrics” like user retention (42% at 30 days) and average session length (6.2 minutes). Doubao’s strength is not academic reasoning but real-time engagement.

Speed and Cost

Doubao’s API latency averages 0.9 seconds for a 100-token response, the fastest of any domestic model tested. Pricing is ¥0.002 per 1,000 tokens — 80% cheaper than ChatGPT. ByteDance also offers a free tier (10,000 requests per day) for individual developers, making Doubao the most accessible option for prototyping. For cross-border API access, some developers use services like NordVPN secure access to route traffic when testing from outside mainland China, though latency increases by 200–400 ms.

Constraint: Depth and Context Window

Doubao’s context window is 8,192 tokens, compared to GPT-4 Turbo’s 128,000. Long-document analysis (50+ pages) requires chunking and re-prompting. On the LongBench Chinese summarization task (16,000-token inputs), Doubao’s ROUGE-L score is 0.31, versus ERNIE Bot’s 0.39 and GPT-4’s 0.47. For deep research or code review across large codebases, Doubao is inadequate.

Hunyuan (Tencent) — WeChat Integration and Multimodal Push

Tencent released Hunyuan in September 2023, leveraging its WeChat ecosystem of 1.3 billion monthly active users. By March 2024, Hunyuan had been integrated into WeChat Work, Tencent Meeting, and QQ, giving it the largest potential user base among domestic models. Tencent’s strategy is multimodal: Hunyuan supports text, image generation, and speech simultaneously, a feature GPT-4 only partially offers.

Benchmark performance: Hunyuan scored 79.4 on SuperCLUE (March 2024) and 72.8 on MMLU. On the MMMU (Multimodal Multitask Understanding) benchmark, Hunyuan scored 64.1, beating ERNIE Bot’s 59.8 but trailing GPT-4V’s 69.3. For Chinese image captioning (NoCaps Chinese subset), Hunyuan achieved 82.5 CIDEr, the highest among domestic models.

WeChat Ecosystem Advantage

Hunyuan is natively callable via WeChat Mini Programs and WeChat Work APIs, meaning you can embed AI chat into customer service, group chats, and document workflows without additional infrastructure. Tencent charges ¥0.006 per 1,000 tokens for the text model and ¥0.015 for the multimodal model. For enterprise customers using WeChat Work, Tencent offers a bundled plan at ¥299 per user per year, including Hunyuan API calls.

Drawback: Independent API Reliability

Hunyuan’s standalone API (outside WeChat) has higher error rates: 2.3% of requests returned 5xx errors in Q1 2024, per Tencent Cloud’s status dashboard, compared to ERNIE Bot’s 0.7% and Qwen’s 0.5%. Additionally, Hunyuan’s English performance on the SuperCLUE English subset is 8.1 points below its Chinese score, similar to ERNIE Bot. If you need a reliable, English-first API, Hunyuan is not recommended.

Cross-Model Comparison: Benchmarks, Pricing, and Use Cases

To help you make a direct comparison, the table below summarizes key metrics across all four models plus ChatGPT-4 Turbo as the baseline. All data sourced from SuperCLUE March 2024 report, MMLU official leaderboard (March 2024), and each company’s pricing page (accessed April 2024).

Model	SuperCLUE	MMLU	HumanEval	Price (¥/1K tokens)	Latency (200 tokens)
ERNIE Bot 4.0	81.2	78.4	62.3%	¥0.012	1.8s
Qwen-72B	82.3	75.1	58.9%	¥0.008	1.5s
Doubao	76.8	69.3	N/A	¥0.002	0.9s
Hunyuan	79.4	72.8	N/A	¥0.006	1.3s
GPT-4 Turbo	88.7	86.5	87.1%	¥0.03	1.2s

Use-case recommendations: For English coding and reasoning, GPT-4 remains dominant — no domestic model matches its HumanEval pass rate. For Chinese-language customer service at scale, Doubao’s speed and cost make it the best choice. For privacy-sensitive fine-tuning, Qwen’s open-source models give you full control. For WeChat ecosystem integration, Hunyuan is the only native option. ERNIE Bot is a balanced generalist, but its English weakness limits international applications.

Future Trajectory and Regulatory Constraints

The Chinese government’s “Interim Measures for the Management of Generative AI Services” (effective August 2023) requires all public-facing AI models to pass a security assessment and register with the CAC. As of April 2024, 117 models had been approved, per the CAICT white paper. This regulatory gate slows iteration — model updates require re-approval, adding 2–4 months to release cycles. GPT-4, by contrast, updates every 2–3 weeks without government clearance.

Training data constraints: Chinese models are trained on a filtered internet corpus that excludes content deemed politically sensitive. This reduces the diversity of training data. A 2024 study by the Chinese Academy of Social Sciences found that domestic models’ training corpora contain 40% fewer unique web domains than GPT-4’s corpus. The result: lower performance on open-ended reasoning tasks that require broad world knowledge — for example, on the MMLU “world religions” subset, ERNIE Bot scores 62.1 versus GPT-4’s 79.8.

Investment and compute: China’s AI chip imports fell 70% in 2023 due to US export controls, according to the Semiconductor Industry Association (2024). This forces domestic model developers to optimize for lower compute budgets. Qwen-72B uses 72 billion parameters versus GPT-4’s estimated 1.76 trillion — a 24x difference. Performance gaps will persist until domestic chip production (Huawei’s Ascend 910B, for example) scales to meet demand.

FAQ

Q1: Can I use Chinese AI chat models from outside mainland China?

Yes, but with caveats. ERNIE Bot, Qwen, and Hunyuan all offer public APIs accessible globally via cloud regions in Singapore and Hong Kong. Doubao’s API is currently limited to mainland China IP addresses. Latency for non-China users averages 2.5–4.0 seconds due to routing through the Great Firewall, compared to 0.9–1.8 seconds within China. As of April 2024, approximately 15% of Qwen’s API traffic originates from outside China, per Alibaba Cloud’s developer conference data.

Q2: How do domestic models compare to ChatGPT on Chinese-language tasks?

On the SuperCLUE Chinese benchmark (March 2024), the best domestic model (Qwen-72B, 82.3) trails GPT-4 Turbo (88.7) by 6.4 points. On Chinese-to-English translation (Flores-200), GPT-4 scores 44.7 BLEU versus Qwen’s 38.2. For Chinese poetry generation and idiom comprehension, domestic models are competitive — ERNIE Bot scores 91.2 on the Chinese idiom reasoning subset, versus GPT-4’s 89.5 — but for general Chinese-language reasoning, GPT-4 still leads.

Q3: Which domestic model is best for coding?

None. The highest HumanEval pass rate among domestic models is ERNIE Bot 4.0 at 62.3%, compared to GPT-4 Turbo’s 87.1%. For Python, JavaScript, and TypeScript tasks, GPT-4 remains the standard. If you must use a domestic model due to compliance requirements, Qwen-72B (58.9% HumanEval) is the second-best option, and its open-source variants allow fine-tuning on your codebase, which can improve pass rates by 8–12 percentage points, per Alibaba’s internal benchmarks.

References

• UBS Global Research. 2023. ChatGPT User Adoption Analysis.
• China Academy of Information and Communications Technology (CAICT). 2024. White Paper on Generative AI Services Registration.
• SuperCLUE Consortium. 2024. SuperCLUE Chinese Multitask Benchmark Report (March 2024).
• Semiconductor Industry Association (SIA). 2024. China AI Chip Import Data and Export Control Impact.
• Chinese Academy of Social Sciences. 2024. Training Data Diversity in Domestic AI Models.