DeepSeek-V4-1-Flash-GLB via NextModel: 1M-token context; $0.3 / 1M tokens in / $1.20 / 1M tokens out per 1M tokens. Capabilities: streaming.
이 후보 목록은 어디에 쓰나?: Chinese LLM API
Chinese product traffic has different constraints than English-only apps. You often care about domestic providers, CNY billing, long Chinese documents, and whether quality holds on real tickets, not demos. This shortlist groups Chinese-friendly models by source, price, context, and capability so you can test on your own samples before moving production traffic.
출처 기준: NextModel catalog taxonomy, provider public pricing, and OpenRouter metadata when available. · 업데이트 2026-07-01
Fit score
추천 후보 chinese llm api
먼저 후보 목록으로 시작한 다음 실제 프롬프트로 테스트하고 운영 라우팅 전에 월간 비용을 비교합니다.
DeepSeek-V4.1-Flash via NextModel: 1M-token context; $0.3 / 1M tokens in / $1.18 / 1M tokens out per 1M tokens. Capabilities: streaming.
Doubao-Seed-2.1-lite via NextModel: 1M-token context; $0.12 / 1M tokens in / $0.4 / 1M tokens out per 1M tokens. Capabilities: streaming.
Deepseek-V4-Pro-0813 via NextModel: 1M-token context; $1.33 / 1M tokens in / $3.98 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
비교표
가격, 공급자, 컨텍스트, 기능, 출처 기준으로 후보를 비교합니다.
운영 후보를 좁히거나 폴백 정책을 만들거나 모델 경제성을 비교할 때 사용합니다.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek-V4-1-Flash-GLBdeepseek/deepseek-v4-1-flash-glb | DeepSeek | $0.3 / 1M tokens | $1.20 / 1M tokens | 1M | Streaming | Chinese Q&A, general chat | 1557-3097ms | Catalog | Platform curated |
| DeepSeek-V4.1-Flashdeepseek/deepseek-v4-1-flash | DeepSeek | $0.3 / 1M tokens | $1.18 / 1M tokens | 1M | Streaming | Chinese Q&A, general chat | 4553-6187ms | Catalog | Platform curated |
| Doubao-Seed-2.1-litedoubao-seed-2-1-lite | Volcengine | $0.12 / 1M tokens | $0.4 / 1M tokens | 1M | Streaming | Chinese Q&A, general chat | 2010-3295ms | Catalog | Platform curated |
| Deepseek-V4-Pro-0813deepseek/deepseek-v4-pro-0813 | DeepSeek | $1.33 / 1M tokens | $3.98 / 1M tokens | 1M | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 2128-2773ms | Catalog | Platform curated |
| Doubao Seed 2.0 Codedoubao-seed-2-0-code | Volcengine | Starting at $0.48 / 1M tokens | $2.36 / 1M tokens | 256k | Streaming | Chinese Q&A, general chat | 2298-4636ms | Catalog | Platform curated |
| Doubao Seed 2.0 Litedoubao-seed-2-0-lite | Volcengine | Starting at $0.09 / 1M tokens | $0.53 / 1M tokens | 256k | Streaming | Chinese Q&A, general chat | 2373-3512ms | Catalog | Platform curated |
| Doubao Seed 2.0 Minidoubao-seed-2-0-mini | Volcengine | Starting at $0.03 / 1M tokens | $0.3 / 1M tokens | 256k | Streaming | Chinese Q&A, general chat | 1171-1844ms | Catalog | Platform curated |
| Doubao Seed 2.0 Prodoubao-seed-2-0-pro | Volcengine | Starting at $0.48 / 1M tokens | $2.36 / 1M tokens | 256k | Streaming | Chinese Q&A, general chat | 2685-3465ms | Catalog | Platform curated |
FAQ
Chinese LLM API FAQ
Which model should I test first for Chinese support workloads?
For high-volume, low-cost Chinese tasks, try Doubao Seed 2.0 Mini first. For heavier reasoning or long documents, put DeepSeek, Qwen, or Kimi on the same prompts and compare.
Can one gateway cover domestic and global models?
Yes. NextModel is one OpenAI-compatible entry with source labels on models. That is catalog coverage, not a claim of special partnerships.