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.
この候補リストは何に使う?: 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.
ソース基準: NextModel catalog taxonomy, provider public pricing, and OpenRouter metadata when available. · 更新日 2026-07-01
Fit score
推奨候補 chinese llm api
まず候補リストから始め、実際のプロンプトで試し、本番ルーティング前に月額コストを比較します。
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.
比較表
価格、プロバイダー、コンテキスト、機能、ソースで候補を比較します。
本番候補を絞り込むとき、フォールバック方針を作るとき、モデル経済性を比べるときに使います。
| 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.
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