Named Models
Where this comes from
Models the research names for this use case. Research, with sources on each model record.
Who Runs It
No deployment is recorded for this use case.
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.
Candidate Models
SEA-HELM leaderboard, 58 models, SEA average
A general benchmark for this model class, not a test on this use case. SEA average and per-language (incl. Indonesian) scores for open-weight models. Higher is better. Showing 10 of 11.
Qwen3.6-35B-A3BAlibaba (Qwen) maintainer-run73.86Qwen3.5-35B-A3BAlibaba (Qwen) maintainer-run73.55
gemma-3-27b-itGoogle maintainer-run64.54
Gemma-SEA-LION-v4-27B-ITAI Singapore maintainer-run64.35
gpt-oss-20bOpenAI maintainer-run60.64
Llama-3.3-70B-InstructMeta maintainer-run60.44Qwen3-8BAlibaba (Qwen) maintainer-run60.33
GLM 4.7 FlashZ.ai (Zhipu) maintainer-run53.76Gemma-3-4B-itGoogle maintainer-run47.84
Nemotron 3 Nano 30B-A3BNVIDIA maintainer-run46.89050100
Nemotron-SEA-LION-v4.8-120B-A12BAI Singapore, LLMReleasedSep 2026open weightsIndonesian statedhas scoreslast 18 monthsNemotron-SEA-LION-v4.8-30B-A3BAI Singapore, LLMReleasedSep 2026open weightsIndonesian statedhas scoreslast 18 monthsQwen-SEA-LION-v4.5-27B-ITAI Singapore, LLMReleasedMay 2026open weightsIndonesian statedhas scoreslast 18 monthsQwen3.6-35B-A3BAlibaba (Qwen), LLMReleasedApr 2026open weightsruns on edgehas scoreslast 18 monthsNemotron 3 SuperNVIDIA, LLMReleased2026open weightsIndonesian statedhas scoreslast 18 monthsNemotron 3.5 Lightning 30B-A3BNVIDIA, LLMReleased2026open weightsIndonesian statedhas scoreslast 18 monthsgpt-oss-120bOpenAI, LLMReleasedAug 2025open weightsIndonesian statedhas scoreslast 18 months
Granite 4.2 8BIBM, LLMReleasedSep 2026open weightshas scoreslast 18 months
Hy4-previewTencent, LLMReleasedAug 2026open weightshas scoreslast 18 monthsGLM-5.3Z.ai (Zhipu), LLMReleasedAug 2026open weightshas scoreslast 18 monthsShowing 10 of 401. All models of this class
Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.
Links
Models 1
Sources
- FinanceBench: 81% of Answers Were Wrong capitalandcompute.net https://capitalandcompute.net/ai-benchmarks/financebench/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Financial Document QA", https://aurion.semai.id/usecases/fin-financial-document-qa/, records of October 2026.