Chinese LLMs Match or Beat GPT-5.5 on Tool Use, But Migration Is Not Plug-and-Play

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As of August 2026, all five major Chinese LLM families — DeepSeek, GLM, Qwen, Kimi, and MiniMax — offer OpenAI-compatible tool-calling endpoints across 10 production variants. Benchmark testing on the BenchLM tool-use suite shows GLM-5.1 and MiniMax M3 scoring 70.1, surpassing GPT-5.5's 67.8, while Kimi K2.6 trails at 60.5. Despite surface-level API compatibility, meaningful differences persist in JSON schema fidelity, parallel tool-call handling, and streaming delta formats, meaning teams cannot migrate GPT-based agents with a simple configuration change. Router services like OpenRouter and Eden AI normalize transport-layer issues but do not resolve semantic or schema incompatibilities. Teams willing to build per-model adapters can achieve tool-use accuracy at or above GPT-5.5 levels at significantly lower cost.

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Chinese LLM APIs in 2026: Flagship Models Cost ¥4–¥12 Per Million Tokens

As of August 21, 2026, Chinese large language model APIs offer some of the most competitive pricing globally, with flagship models ranging from ¥4.00 to ¥12.00 per million input tokens, according to pricing data verified by llmabacus. Leading models in this range include Baidu ERNIE 5.1 at the low end and Alibaba's Qwen3.7 Max at the high end, while budget options like Qwen3.5 Flash go as low as ¥0.20 per million input tokens. DeepSeek's models stand out for aggressive caching discounts, with DeepSeek V4 Flash offering cached input at just ¥0.10 per million tokens. Analysts attribute the sustained price decline to cheaper hardware, intensifying domestic competition, and the rise of aggregator gateways that unify access across vendors. Compared to Western counterparts, Chinese value-tier models are estimated to be 80–98% cheaper than GPT-5.5-class equivalents, though buyers are advised to weigh cache hit rates and tool-calling compatibility alongside list prices.

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