Key takeaways

Agent workloads on China LLM APIs fail more often on tool-call parity than on chat quality. Before picking DeepSeek, Qwen, Kimi, or GLM for production agents, test: schema support, parallel tools, streaming + tools, error payloads, and output-token cost per successful task. Swift Horse indexes public API labels—not OpenAI parity guarantees.

Why tool calling breaks across vendors

OpenAI-compatible endpoints from Chinese labs vary on JSON mode, strict schemas, tool_choice behavior, and whether streaming emits tool deltas. A model strong on chat may drop or malform calls on nested objects. Run identical 50-call suites on finalists—see /en/articles/access-china-llm-api-overseas for setup.

Vendor notes (2026 snapshot)

DeepSeek: popular for reasoning agents; verify reasoner vs chat model IDs. Qwen/DashScope: strong ecosystem tools; check international console model names. GLM: often chosen for stable enterprise function calling. Kimi: test long-context + tools together if documents drive agent state. Confirm on official docs before contracts.

50-call agent POC checklist

Define 5 tool schemas → 10 prompts each → log success, latency, malformed JSON, retries → measure output tokens per success → compare monthly cost at real volume (/en/articles/china-llm-api-pricing-2026) → document failover model. Pass threshold: >95% success for your schemas, P95 latency within product budget.

Next steps on Swift Horse

Compare specs → /en/services → selection matrix /en/articles/top-chinese-ai-models-2026 → API setup /en/articles/access-china-llm-api-overseas → Kimi vs GLM /en/articles/kimi-vs-glm-selection-guide-2026.

FAQ

Which China LLM is best for tool calling?

No universal winner—GLM and Qwen often enter enterprise agent shortlists; DeepSeek for reasoning-heavy tools. Run your 50-call POC; Swift Horse does not rank live tool success rates.

Are Chinese LLM APIs OpenAI tool compatible?

Many vendors ship compatible endpoints, but parity is not guaranteed. Test streaming tools, strict JSON, and error formats on your stack before launch.

How do agents affect API cost?

Agents multiply output tokens and tool-round trips. Budget using real traces—see /en/articles/china-llm-api-pricing-2026.

Can I use LangChain with China LLMs?

Yes via OpenAI-compatible base URLs for many vendors. Validate tool bindings with your chosen model IDs from official consoles.