China AI Model Comparison 2026: DeepSeek, Qwen, Kimi, Doubao, GLM
Kimi K2 vs Qwen3-Coder vs Sonnet 4 and every major China AI model, ranked by coding, long-context, multimodal, and cost. Best pick for each use case.
📌 Specs and pricing reflect each provider’s published figures as of June 2026. The Chinese model landscape iterates on a monthly cadence — verify current model names, context windows, and prices on the provider platforms before committing. Tier rankings below are relative assessments from public benchmarks and developer reports, not precise measurements.
China’s AI model landscape in 2026 is genuinely competitive at the frontier — but that creates a selection problem. There are now multiple Chinese models that are credible picks for production work, each optimized for different things, and the English-language coverage of them is scattered, lagging, and often misattributed.
This comparison works from primary sources: official documentation, public benchmark results, and provider specs. It avoids two failure modes common in this space: marketing-grade “everyone is amazing” hedging, and invented precision (fake 23/25 scorecards, made-up star totals). Where the public data supports a clear ranking, you get one. Where it doesn’t, you get tiers with honest caveats.
The goal isn’t “who has the highest total score.” It’s “which model for which task” — because the right answer varies sharply by use case.
The Contenders
These are the models worth tracking in the Chinese AI ecosystem as of mid-2026, selected on technical capability, API availability, and ecosystem maturity:
| Model | Developer | Context window | Open source | Notes |
|---|---|---|---|---|
| DeepSeek V4 | DeepSeek | 1M | ✅ MIT | Text-only; coding and value leader |
| Qwen 3.7 | Alibaba Cloud | Up to 1M (max tier) | ✅ Apache 2.0 | Versatile all-rounder; strong enterprise story |
| Kimi K2.6 | Moonshot AI | 262K | ⚠️ Modified MIT | Long-context retrieval specialist |
| Doubao Seed 2.1 | ByteDance | 256K | ❌ | Most complete multimodal suite (Seedance video, Seedream image) |
| GLM-4.7 | ZhipuAI | 256K | ✅ Partial | Deep academic roots; strong in gov/enterprise |
| ERNIE Bot 5.1 | Baidu | 128K | ⚠️ Partial | Chinese-writing leader; Baidu search integration |
| MiniMax-2 | MiniMax | 256K | ❌ | AI video and speech leader (Hailuo AI) |
| Spark 5.0 | iFlytek | 128K | ❌ | 20-year voice-AI veteran; education/healthcare verticals |
| Hunyuan Turbo | Tencent | 256K | ⚠️ Partial | Tencent ecosystem integration (WeChat, gaming) |
| Step-2 | StepFun | 256K | ❌ | Math/reasoning breakout; finance favorite |
Context windows and open-source status vary by specific model variant and change frequently. The figures above are the June 2026 public specs for the primary API variants. Verify on the provider platform for the exact variant you’re considering.
Dimension 1: Coding Capability
Assessment basis: public benchmarks (HumanEval, MBPP, SWE-bench Verified) and developer experience reports. Rankings are relative tiers within this cohort, not precise measurements.
| Tier | Models | Notes |
|---|---|---|
| Tier 1 (leading) | DeepSeek V4 | Consistently at or near the top of public coding leaderboards; reported as the strongest Chinese coding model across developer write-ups |
| Tier 2 (strong) | Qwen 3.7, Kimi K2.6, Step-2 | Competitive on bounded coding tasks; Qwen 3.7 strong on instruction-following, Step-2 on reasoning-heavy programming |
| Tier 3 (competent) | GLM-4.7, Hunyuan Turbo | Solid on standard tasks; less consistent on complex multi-file work |
| Tier 4 (basic) | MiniMax-2, Doubao Seed 2.1, ERNIE Bot 5.1, Spark 5.0 | Adequate for simple tasks; not the right pick if coding is the primary workload |
Takeaway: for coding, DeepSeek V4 is the clear pick within the Chinese ecosystem. If you’re evaluating across ecosystems, DeepSeek V4 is competitive with Western frontier models on coding at a fraction of the cost. The Tier 2 models are reasonable fallbacks; Tier 3–4 are best used for non-coding work.
Dimension 2: Long-Context Processing
Assessment basis: public long-context benchmark reports and developer experience on retrieval, multi-document comparison, and long-range reasoning.
| Tier | Models | Notes |
|---|---|---|
| Tier 1 (leading) | Kimi K2.6, DeepSeek V4 | Kimi reported as strongest on retrieval and multi-document work; DeepSeek V4’s 1M window competitive on capacity |
| Tier 2 (strong) | Qwen 3.7, GLM-4.7 | Solid retrieval; somewhat weaker on multi-hop synthesis across many documents |
| Tier 3 (competent) | Hunyuan Turbo, MiniMax-2, Step-2 | Adequate for single-document work; less reliable on cross-document reasoning |
| Tier 4 (basic) | ERNIE Bot 5.1, Doubao Seed 2.1, Spark 5.0 | Smaller context windows limit suitability for large-document work |
Takeaway: for long-document analysis, Kimi K2.6 is the retrieval specialist and DeepSeek V4 offers the largest raw capacity. Qwen 3.7 and GLM-4.7 are competent seconds. Note that raw context size isn’t the differentiator it once was — reasoning quality across context matters more, and that’s where Kimi and DeepSeek lead.
Dimension 3: Multimodal Capabilities
| Tier | Models | Coverage |
|---|---|---|
| Tier 1 (full suite) | Doubao Seed 2.1, Hunyuan Turbo | Image understanding + generation, video understanding + generation, speech — the most complete multimodal coverage |
| Tier 2 (strong) | Qwen 3.7 (Qwen-VL), MiniMax-2 | Image understanding + video generation (Hailuo AI); strong in specific modalities |
| Tier 3 (partial) | ERNIE Bot 5.1, Spark 5.0, GLM-4.7 | Image understanding solid; generation and video limited or absent |
| Tier 4 (text-only) | DeepSeek V4, Kimi K2.6, Step-2 | No native multimodal — text in, text out |
Takeaway: for multimodal, Doubao Seed 2.1 (Seedream image gen + Seedance video gen) and Hunyuan Turbo (Tencent’s video/gaming stack) are the most complete. MiniMax-2’s Hailuo AI has the strongest user reputation specifically for AI video generation. DeepSeek V4 being text-only is its biggest gap — if you need vision, look elsewhere.
Dimension 4: Chinese Writing
| Tier | Models | Notes |
|---|---|---|
| Tier 1 (leading) | ERNIE Bot 5.1, Spark 5.0 | ERNIE’s Baidu search integration helps factual accuracy on formal/official writing; Spark strong in education/government styles |
| Tier 2 (strong) | Qwen 3.7, Kimi K2.6, GLM-4.7 | Consistently reliable across formal, creative, and classical registers |
| Tier 3 (competent) | Doubao Seed 2.1, MiniMax-2, Hunyuan Turbo, Step-2 | Adequate for general Chinese; less nuanced on formal/literary registers |
| Tier 4 (weaker) | DeepSeek V4 | Competent but not specialized; DeepSeek’s strengths are elsewhere |
Takeaway: for formal Chinese writing (official documents, government style), ERNIE Bot 5.1 remains the leader. Spark 5.0 excels in education and government verticals. Qwen 3.7 is the most reliable all-rounder. DeepSeek V4 is competent but not the pick if Chinese writing quality is the primary criterion.
Dimension 5: Cost-Effectiveness
API pricing per million tokens (USD), June 2026 list prices:
| Model | Input | Output | Notes |
|---|---|---|---|
| DeepSeek V4 (flash) | $0.14 | $0.28 | Value king for text work |
| Qwen 3.6-flash | $0.25 | $1.50 | Volume tier for high-throughput |
| GLM-4.7 | $0.40 | $1.75 | Competitive mid-tier |
| Qwen 3.7-plus | $0.40 | $1.60 | Value tier of the 3.7 series |
| Doubao Seed 2.1 | Priced in CNY; multimodal included | ||
| Kimi K2.6 | $0.95 | $4.00 | Long-context premium |
| Qwen 3.7-max | $2.50 | $7.50 | Flagship tier; Thinking mode available |
| ERNIE Bot 5.1 | ~$1.00 | ~$1.00 | Verify on Baidu Qianfan for current pricing |
For reference: GPT-5 is $1.25/$10.00, Claude Opus 4.8 is $5.00/$25.00, Claude Sonnet 4.6 is $3.00/$15.00. Chinese model API prices are typically 1/10 to 1/50 of Western frontier models on output tokens.
Takeaway: DeepSeek V4 flash remains the value king for text work. The Qwen flash and plus tiers are competitive for volume. Even the “expensive” Chinese models (Kimi K2.6, Qwen 3.7-max) are several times cheaper than GPT-5. The cost advantage of the Chinese ecosystem is real and large.
Per-Scenario Recommendations
| Your need | First pick | Alternative | Why |
|---|---|---|---|
| Coding | DeepSeek V4 | Qwen 3.7 / Kimi K2.6 | DeepSeek’s coding capability is a clear step ahead in public reports |
| Long-document analysis | Kimi K2.6 | DeepSeek V4 | Kimi’s retrieval and multi-document work is strongest |
| Image/video generation | Doubao Seed 2.1 | Hunyuan Turbo | Seedance + Seedream full suite |
| Formal Chinese writing | ERNIE Bot 5.1 | Qwen 3.7 / Spark 5.0 | Baidu search integration; factual accuracy |
| Voice/education | Spark 5.0 | Doubao Seed 2.1 | iFlytek’s voice-AI depth |
| AI video creation | MiniMax-2 (Hailuo AI) | Hunyuan Turbo | Top user reputation for video quality |
| Enterprise self-hosting | Qwen 3.7 | DeepSeek V4 / GLM-4.7 | Apache 2.0 most permissive; GLM strong in gov/enterprise |
| Math/reasoning | Step-2 | DeepSeek V4 (thinking mode) | Step-2’s math benchmark results; DeepSeek reasoning mode competitive |
| Multilingual translation | Qwen 3.7 | DeepSeek V4 | Qwen’s broad language coverage |
| Daily conversation | Doubao Seed 2.1 | DeepSeek V4 | Natural Chinese conversation; free entry points |
| Gaming/media | Hunyuan Turbo | MiniMax-2 | Tencent ecosystem integration |
| Fully free self-deployment | DeepSeek V4 | Qwen 3.7 | MIT license, most permissive |
The Combination Strategy
Most production systems don’t need to pick one model. A practical multi-model stack:
Coding → DeepSeek V4 (best value, top capability)
Long-document analysis → Kimi K2.6 (retrieval specialist)
Image/video → Doubao Seed 2.1 or Hunyuan Turbo (multimodal suite)
Formal Chinese writing → ERNIE Bot 5.1 (factual accuracy)
Enterprise self-host → Qwen 3.7 (Apache 2.0, most permissive)
Math/reasoning-heavy → Step-2 (breakout model)
AI video creation → MiniMax-2 / Hailuo AI (top video reputation)
Voice/education → Spark 5.0 (iFlytek ecosystem)Estimated monthly cost (moderate usage): combining these models runs roughly $30–80/month in API spend. For comparison, using GPT-5 alone for similar workloads costs $150–300/month. The multi-model approach costs less and gives you the best model per task — you’re not forcing one model to do everything.
One-Line Summary of Each Model
| Model | In one line |
|---|---|
| DeepSeek V4 | Coding and value leader; text-only with no multimodal |
| Qwen 3.7 | The most versatile all-rounder; top pick for enterprise deployment |
| Kimi K2.6 | Long-context retrieval specialist; strong on multi-document work |
| Doubao Seed 2.1 | Most complete multimodal suite; strong free-tier experience |
| ERNIE Bot 5.1 | Chinese-writing leader; powered by Baidu search |
| GLM-4.7 | Deepest academic roots; unique advantages in gov/enterprise |
| MiniMax-2 | AI video and speech leader; strong consumer products (Hailuo AI) |
| Spark 5.0 | Voice-AI veteran; deep vertical in education/healthcare |
| Hunyuan Turbo | Tencent ecosystem backing; plug-and-play for gaming/video/social |
| Step-2 | Math/reasoning breakout; finance-sector favorite |
FAQ
Can overseas users access these Chinese AI models?
Most can. DeepSeek, Kimi, and Qwen all have international API endpoints. Doubao, ERNIE Bot, and Spark may require a Chinese phone number for registration. GLM, MiniMax, Hunyuan, and Step-2 are gradually opening up international access — check the provider’s current registration requirements.
How is data privacy handled?
Data sent via API is typically not used for model training (per provider policies — read each one). For maximum privacy, self-host the open-source models: DeepSeek V4 (MIT), Qwen 3.7 (Apache 2.0), or GLM-4.7 (partial).
Which model for coding beginners?
DeepSeek V4 flash. Top-tier code capability, extremely low price, and a free web version at chat.deepseek.com to try first.
Do these models offer free tiers?
DeepSeek (free web version), Doubao (free basic features), Qwen (free at qwen.chat), Kimi (free web version), and GLM (free web version) all have free entry points. Free-tier limits vary and change — check the provider’s current offer.
How is this different from other English-language comparisons?
Most English comparisons cover only GPT/Claude/Gemini and mention DeepSeek in passing. This comparison goes into the full Chinese AI ecosystem from primary-source documentation, not secondhand reporting.
Methodology and Limitations
- Tier-based, not scorecard-based. This comparison deliberately avoids invented precision (fake 23/25 totals, made-up star counts). Tier rankings reflect relative positioning from public benchmarks and developer reports; differences within a tier may be small.
- Public benchmarks saturate. HumanEval and MBPP no longer discriminate well between frontier models. SWE-bench Verified and GPQA are more informative but their leaderboards shift between eval releases.
- Provider-published evals are directional. Treat provider benchmark claims as a useful signal of where a model is strong, not an independent measurement. Independent reproductions broadly agree on tier placement but the specifics vary.
- The landscape moves monthly. The model names, context windows, and prices above are a June 2026 snapshot. By the time you read this, something will have changed. The decision framework (which model for which task) is more durable than any specific spec.
- Your workload is not a benchmark. Use this comparison to narrow candidates, then run your own eval on your real tasks before committing to production.
The Bottom Line
There is no single “best Chinese AI model” — there’s the best model for your task. DeepSeek V4 leads on coding and value. Kimi K2.6 leads on long-context retrieval. Doubao Seed 2.1 and Hunyuan Turbo lead on multimodal. ERNIE Bot 5.1 leads on formal Chinese writing. Step-2 leads on math. The rational production architecture uses multiple models, each routed to the task where it leads — and the total cost of that multi-model stack is still a fraction of running a single Western frontier model for everything.
The Chinese AI ecosystem in 2026 is not a consolation prize for developers who can’t access GPT-5. It’s a genuinely competitive landscape with models that lead on specific dimensions. Pick by task, not by brand.
🔗 Related reading:
- DeepSeek V4 vs GPT-5: Public-Benchmark Decision Analysis — a coding-focused decision framework
- China AI Model Pricing Comparison 2026 — deeper pricing detail
- DeepSeek API Beginner Guide — get started with the value leader
- Kimi K2.6 vs Claude Sonnet 4.6: Long-Context Decision Guide — long-context model selection