Rankings of the best AI models for finance and accounting. Compare models by financial analysis, economic reasoning, and accounting capabilities.
The best AI for finance right now is Qwen3.7 Max by Alibaba Cloud / Qwen Team, followed by Qwen3.6 Plus — ranked by financial analysis, economic reasoning, and accounting benchmarks.
| Model | Best for | Top strength | Watch out | Cost · Context |
|---|---|---|---|---|
| Qwen3.7 Max Alibaba Cloud / Qwen Team | Alibaba's newest — strongest open-weight Asian frontier | Excellent multilingual coverage (50+ languages) | Western provider coverage lags | $1.25 / $3.75 1.0M ctx |
| Qwen3.6 Plus Alibaba Cloud / Qwen Team | Mature Qwen generation — strong all-rounder | Open weights, broad language support | 3.7 line now ahead on the hardest tasks | $0.50 / $3.00 1.0M ctx |
| Qwen3.5-397B-A17B Alibaba Cloud / Qwen Team | Earlier Qwen 3 — still capable, especially MoE variants | MoE architecture gives strong quality at low active-parameter cost | Newer versions lead it | $0.60 / $3.60 262K ctx |
| MiniMax M2.1 MiniMax | Lean Chinese frontier — strong on long context | 1M+ context window with usable recall | Limited Western provider coverage | $0.30 / $1.20 1.0M ctx |
| Qwen3.5-122B-A10B Alibaba Cloud / Qwen Team | Earlier Qwen 3 — still capable, especially MoE variants | MoE architecture gives strong quality at low active-parameter cost | Newer versions lead it | $0.40 / $3.20 262K ctx |
| Kimi K2.5 Moonshot AI | Moonshot AI — frontier-adjacent quality with strong long context | Consistently top-5 on research and long-context retrieval | Newer to Western providers; latency varies | — |
| Qwen3.6-27B Alibaba Cloud / Qwen Team | Mature Qwen generation — strong all-rounder | Open weights, broad language support | 3.7 line now ahead on the hardest tasks | $0.60 / $3.60 262K ctx |
Alibaba's newest — strongest open-weight Asian frontier
Mature Qwen generation — strong all-rounder
Earlier Qwen 3 — still capable, especially MoE variants
Lean Chinese frontier — strong on long context
Earlier Qwen 3 — still capable, especially MoE variants
Moonshot AI — frontier-adjacent quality with strong long context
Mature Qwen generation — strong all-rounder
Alibaba's newest — strongest open-weight Asian frontier
When to useMultilingual workloads; open-weight evaluations.
Mature Qwen generation — strong all-rounder
When to useCross-language deployment; cost-throttled work.
Earlier Qwen 3 — still capable, especially MoE variants
When to useOpen-weight evaluation; specific fine-tunes.
Lean Chinese frontier — strong on long context
When to useLong-document workflows where price-per-million-tokens matters.
Earlier Qwen 3 — still capable, especially MoE variants
When to useOpen-weight evaluation; specific fine-tunes.
Moonshot AI — frontier-adjacent quality with strong long context
When to useLong-context document work; research synthesis.
As of June 2026, Qwen3.7 Max leads finance benchmarks with a score of 60.8, followed by Qwen3.6 Plus (55.0) and Qwen3.5-397B-A17B (53.9). Financial accuracy is critical — our rankings penalize models that confidently produce incorrect financial information over those that appropriately express uncertainty.
Ranked by 25 benchmarks including CFA, CPA, and FRM exam question sets, financial statement comprehension, and economic reasoning problems testing both factual recall and analytical judgment.
Yes, for structured tasks. Top models handle ratio calculations, trend identification, financial statement analysis, and comparative analysis well. They're less reliable on forward-looking projections, jurisdiction-specific regulatory questions, and judgment calls that require market intuition. Always verify outputs.
Top models score above passing thresholds on CFA Level 1 and CPA exams. However, exam performance reflects pattern matching on question formats, not necessarily deep financial understanding. Real-world financial analysis requires judgment that exam scores don't capture.
AI can help research and analyze data, but should never be the sole basis for investment decisions. Models may cite outdated information, misinterpret market conditions, or miss context a human advisor would catch. Use AI for data gathering and preliminary analysis, not final investment decisions.
Models with strong performance on CPA-style questions and financial statement tasks. Importantly, consider whether the model handles tabular data well — not all top-ranked general models can process spreadsheets and financial tables accurately. Test with your actual document types.
Top models can analyze balance sheets, income statements, and cash flow statements, extracting key metrics and identifying trends. Performance is best when the data is provided as structured text. For scanned documents, combine with a vision model that has strong OCR capabilities.
