Models / Coding Chinese AI models
Coding Chinese AI models
Coding models are documented for code generation and agentic software work — the arena where China's frontier race is most intense. This hub lists every model that records a coding capability flag.
capabilities.coding === trueCoding evidence is unevenly published: SWE-bench and Terminal-Bench versions differ across vendors, so the coding flag plus each model's documented benchmark scores is the honest signal set — not a single ranking.
Editorial position
Our read: coding is the least comparable category in the market. Vendors mix single-shot and agentic benchmarks, report pass@1 and pass@k interchangeably, and rarely state the harness. A model leading a public leaderboard can lose on your repository, because the variable that matters — how well it recovers from a failed test — is almost never published.
Pattern in the data
| Models matching | 14 |
|---|---|
| Open weights | 11 of 14 |
| Providers represented | 6 |
| Context window range | 256K – 1024K |
| Input price range /1M | $0.15 – $26 |
| Licence families | MIT, Apache-2.0, Kimi, MiniMax, proprietary |
Coding capability is the most evenly distributed flag in the dataset — almost every frontier model claims it — which is precisely why the flag has little selection value. The differentiators in the data are context window, price and licence, not the coding label.
Matching models
DeepSeek-V3.2
deepseek · discontinued
- Open weight · MIT
DeepSeek-V4-Pro
deepseek · deprecated
- Context: 1,048,576 tokens
- Open weight · MIT
DeepSeek-V4.1-Flash
deepseek · active
- Context: 1,048,576 tokens
- Open weight · MIT
GLM-5.2
zhipu-ai · deprecated
- Context: 1,048,576 tokens
- Open weight · MIT (pure open, no regional limits per official model card)
GLM-5.3
zhipu-ai · active
- Context: 1,048,576 tokens
- Open weight · Apache-2.0 (per GitHub repo metadata; README has no separate weights-license section - verify per-model HF cards before reuse)
GLM-5.3-Flash
zhipu-ai · active
- Context: 1,048,576 tokens
- Open weight · Apache-2.0 (per GitHub repo metadata; README has no separate weights-license section - verify per-model HF cards before reuse)
Hunyuan Hy4 preview
tencent · preview
- Context: 1,000,000 tokens
- Open weight · Apache-2.0
Kimi K2.7 Code
moonshot-ai · deprecated
- Context: 262,144 tokens
- Weight status unknown
Kimi K2.7 Code Highspeed
moonshot-ai · deprecated
- Context: 262,144 tokens
- Weight status unknown
Kimi K3
moonshot-ai · active
- Context: 1,048,576 tokens
- Open weight · Kimi K3 License (permissive MIT-style, but Model-as-a-Service operators with >$20M aggregate revenue over any 12 months must sign a separate agreement; products with >100M MAU or >$20M monthly revenue must display 'Kimi K3' in the UI)
Kimi K3.1 Pro
moonshot-ai · active
- Context: 1,048,576 tokens
- Open weight
Kimi K3.1 Pro Highspeed
moonshot-ai · active
- Context: 1,048,576 tokens
- Open weight
MiniMax-M3
minimax · active
- Context: 1,048,576 tokens
- Open weight · MiniMax Community License (custom): free for non-commercial use; commercial use requires prominent attribution 'Built with MiniMax M3' plus written authorization from MiniMax if yearly revenue exceeds US$20M (otherwise a one-time notice to [email protected])
Qwen3.8-Max
alibaba-cloud · active
- Context: 1,048,576 tokens
- Closed weight · proprietary
Original research
This page is generated from the models database; the member list and count are derived from each model's frontmatter fields, not written by hand. See the full model database and the methodology.