DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Best Chinese LLM API models for developer teams
Compare Chinese-language LLM API candidates across domestic and global providers, including pricing, context, latency estimates, and best use cases.
Wofur ist diese Shortlist gedacht?
Chinese LLM API selection has different constraints from English-only workloads. Teams often need domestic provider coverage, Chinese-language quality, CNY budgeting, long document handling, and predictable API behavior. NextModel compares Chinese-friendly models across source type, price, context, and capability so developers can pick candidates for real business samples before committing production traffic.
Quellenbasis: NextModel catalog taxonomy, provider public pricing, and OpenRouter metadata when available.
Fit score
Empfohlene Kandidaten chinese llm api
Starten Sie mit der Shortlist, testen Sie echte Prompts und vergleichen Sie die monatlichen Kosten vor dem Produktionsrouting.
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...
Vergleichstabelle
Vergleichen Sie die Shortlist nach Preis, Anbieter, Kontext, Fahigkeiten und Quelle.
Nutzen Sie diese Ansicht, wenn Sie eine Produktions-Shortlist eingrenzen, eine Fallback-Strategie bauen oder die Modellokonomie vergleichen.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek: R1deepseek/deepseek-r1 | DeepSeek | $0.7 / 1M tokens | $2.50 / 1M tokens | 163.8k | JSON modeLong contextReasoningStreaming | Chinese reasoning, math | 1800-6000ms | Catalog | OpenRouter if available |
| DeepSeek: DeepSeek V4 Flashdeepseek/deepseek-v4-flash | DeepSeek | $0.112 / 1M tokens | $0.224 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | low-cost Chinese tasks, long-context summary | 800-2600ms | Catalog | OpenRouter if available |
| Qwen: Qwen3 Coder Plusqwen/qwen3-coder-plus | Alibaba Cloud / Qwen | $0.65 / 1M tokens | $3.25 / 1M tokens | 1M | Tool callingJSON modeLong contextStreaming | Chinese engineering workflows, code generation | 1200-3900ms | Catalog | OpenRouter if available |
| Qwen: Qwen3 Maxqwen/qwen3-max | Alibaba Cloud / Qwen | $0.78 / 1M tokens | $3.90 / 1M tokens | 262.1k | Tool callingJSON modeLong contextReasoning | Chinese agent workflows, business analysis | 1300-4200ms | Catalog | OpenRouter if available |
| MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6 | Moonshot AI | $0.73 / 1M tokens | $3.49 / 1M tokens | 262.1k | JSON modeLong contextStreamingTool calling | long Chinese documents, contract review | 1400-4400ms | Catalog | OpenRouter if available |
FAQ
Chinese LLM API FAQ
Which model should I test first for Chinese support workloads?
Start with Doubao Seed 2.0 Mini for high-volume low-cost Chinese tasks, then compare DeepSeek, Qwen, or Kimi for reasoning and long documents.
Can one gateway cover domestic and global models?
Yes. The public site positions NextModel as one interface for domestic and global model sources, with source labels instead of partnership claims.