Tested 14 embedding models on Thai — here's how they rank

Ran MTEB benchmarks on 15 Thai tasks using A100 GPUs. Results:

1. Qwen3-Embedding-4B — 74.41
2. KaLM-Gemma3-12B — 73.92
3. BOOM_4B_v1 — 71.84
4. jina-v5-text-small — 71.69
5. Qwen3-Embedding-0.6B — 69.08
6. multilingual-e5-large — 67.22
7. jina-v5-text-nano — 66.85
8. bge-m3 — 64.77
9. jina-v3 — 57.81

Qwen3-0.6B is impressive for its size — nearly matches 4B models on Thai. bge-m3 is solid but nothing special for Thai specifically.

Interactive leaderboard with per-task breakdown: https://anusoft.github.io/thai-mteb-leaderboard/

All benchmarks ran on Thailand's national supercomputer (LANTA). Results merged into the official MTEB repo.