Anthropic’s release of Claude Haiku 5.5 is adding pressure to China’s low-cost foundation model segment, and the market reaction showed up quickly in Hong Kong trading on Oct. 8. Shares of large-model companies weakened during the session, with MiniMax down more than 9% and Zhipu down more than 6%, while the Hang Seng Tech Index slipped about 1% over the same period.
Pricing is at the center of the comparison. Haiku 5.5 lists a base API rate of $0.1 per million input tokens and $0.5 per million output tokens. By comparison, DeepSeek V4.1 Flash charges $0.3 and $1.2 during peak periods, falling to $0.15 and $0.6 in off-peak hours, while Zhipu’s GLM-5.3 Flash is priced at $0.15 and $0.5. For prompts with no more than 100,000 input tokens, Haiku 5.5 already shows a clearer unit-price edge.
On benchmarks, Artificial Analysis gave Haiku 5.5 an intelligence score of 43, ahead of GLM-5.3 Flash at 42, DeepSeek V4.1 Flash at 39, and Xiaomi’s MiMo-V2.6-Flash at 38. In the Terminal-Bench 4.0 coding test, Haiku 5.5 and GLM-5.3 Flash both scored 33%, above DeepSeek’s 27% and MiMo’s 23%. The report also noted limits to that advantage: token consumption is relatively high, and long-context usage can trigger pricing that is five times higher.
Anthropic’s newly released Claude Haiku 5.5 is putting heavy competitive pressure on China’s low-cost model market. On Oct. 8, Hong Kong-listed large-model names traded lower during the session, with MiniMax down more than 9% and Zhipu down more than 6%. Over the same period, the Hang Seng Tech Index was off by about 1%.
API pricing comparison
Haiku 5.5 has a base API price of $0.1 per million input tokens and $0.5 per million output tokens. DeepSeek V4.1 Flash, by comparison, charges $0.3 and $1.2 during peak hours, with prices dropping to $0.15 and $0.6 during off-peak periods. Zhipu’s GLM-5.3 Flash is listed at a standard rate of $0.15 for input and $0.5 for output.
For use cases with no more than 100,000 input tokens, Haiku 5.5 already shows a clear edge on unit pricing.
Benchmark results
Artificial Analysis gave Haiku 5.5 a composite intelligence score of 43. That is above GLM-5.3 Flash at 42, DeepSeek V4.1 Flash at 39, and Xiaomi MiMo-V2.6-Flash at 38.
In the Terminal-Bench 4.0 coding benchmark, Haiku 5.5 and GLM-5.3 Flash both scored 33%, ahead of DeepSeek at 27% and MiMo at 23%.
Where the advantage narrows
That edge is concentrated mainly in base pricing and results at the highest inference intensity. Haiku 5.5 also comes with relatively high token consumption, and long-context usage can trigger pricing at five times the base rate.
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