SeaLink SEA AI Model Quality Index

International leaderboards (LMSYS, Hugging Face) optimize for English. SEA developers and enterprises actually care about Thai, Bahasa Indonesia, Vietnamese, and Chinese scenarios. SeaLink publishes a monthly index combining anonymized real-traffic data + standard benchmarks. Released on the 1st of each month.

First-issue scenarios

Thai customer support reasoning
Bahasa Indonesia product listing
Vietnamese long-doc summarization
Chinese code comments + review
English tool / function calling

Models in the first issue

Claude Opus 4.7

claude-opus-4-7

GPT-5.5 Pro

gpt-5-5-pro

Claude Sonnet 4.6

claude-sonnet-4-6

DeepSeek V4 Flash

deepseek-v4-flash

Claude Haiku 4.5

claude-haiku-4-5

Qwen3 Max

qwen3-max

Kimi K2

kimi-k2

OpenAI Embedding 3 Large

text-embedding-3-large

Methodology

Data source： (1) anonymized real customer calls on the SeaLink platform; (2) public benchmarks (IFEval, MMLU, HumanEval, language-specific SuperGLUE variants).
Scoring： 0-100 scale: 60% accuracy + 25% latency + 15% cost. Raw data + SQL queries published alongside the report so anyone can verify.
Cadence： Released on the 1st of each month, covering the prior month. New models wait 30 days after onboarding before first inclusion (avoids cold-start bias).
Customer privacy： Only aggregate stats. No customer's specific prompt / response / model choice ever appears in the report.

Want a heads-up

Subscribe via RSS (shipping soon) or email reports@sealink.asia to be notified when each issue is published.

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