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Best AI for Finance in 2026

Rankings of the best AI models for finance and accounting. Compare models by financial analysis, economic reasoning, and accounting capabilities.

211 models31 benchmarks
Updated 211 models reviewedMethodology

At a glance

  • Qwen3.7 Max$1.25 / $3.75

    Alibaba's newest — strongest open-weight Asian frontier

    Strength
    Excellent multilingual coverage (50+ languages)
    Watch out
    Western provider coverage lags
  • Earlier Qwen 3 — still capable, especially MoE variants

    Strength
    MoE architecture gives strong quality at low active-parameter cost
    Watch out
    Newer versions lead it
  • Qwen3.6 Plus$0.50 / $3.00

    Mature Qwen generation — strong all-rounder

    Strength
    Open weights, broad language support
    Watch out
    3.7 line now ahead on the hardest tasks
  • Alibaba's newest — strongest open-weight Asian frontier

    Strength
    Excellent multilingual coverage (50+ languages)
    Watch out
    Western provider coverage lags
  • Earlier Qwen 3 — still capable, especially MoE variants

    Strength
    MoE architecture gives strong quality at low active-parameter cost
    Watch out
    Newer versions lead it
  • Qwen3.5-27B$0.30 / $2.40

    Earlier Qwen 3 — still capable, especially MoE variants

    Strength
    MoE architecture gives strong quality at low active-parameter cost
    Watch out
    Newer versions lead it

Capsule reviews of the top models

  1. 01
    Alibaba Cloud / Qwen Team

    Alibaba's newest — strongest open-weight Asian frontier

    Strengths
    • Excellent multilingual coverage (50+ languages)
    • Aggressive open-weight releases
    Watch-outs
    • Western provider coverage lags

    When to useMultilingual workloads; open-weight evaluations.

    Input
    $1.25/ M tokens
    Output
    $3.75/ M tokens
    Context
    1.0Mtokens
    License
    proprietary
  2. 02
    Alibaba Cloud / Qwen Team

    Earlier Qwen 3 — still capable, especially MoE variants

    Strengths
    • MoE architecture gives strong quality at low active-parameter cost
    Watch-outs
    • Newer versions lead it

    When to useOpen-weight evaluation; specific fine-tunes.

  3. 03
    Alibaba Cloud / Qwen Team

    Mature Qwen generation — strong all-rounder

    Strengths
    • Open weights, broad language support
    • Competitive on coding benchmarks
    Watch-outs
    • 3.7 line now ahead on the hardest tasks

    When to useCross-language deployment; cost-throttled work.

    Input
    $0.50/ M tokens
    Output
    $3.00/ M tokens
    Context
    1.0Mtokens
    License
    proprietary
  4. 04
    Alibaba Cloud / Qwen Team

    Alibaba's newest — strongest open-weight Asian frontier

    Strengths
    • Excellent multilingual coverage (50+ languages)
    • Aggressive open-weight releases
    Watch-outs
    • Western provider coverage lags

    When to useMultilingual workloads; open-weight evaluations.

  5. 05
    Alibaba Cloud / Qwen Team

    Earlier Qwen 3 — still capable, especially MoE variants

    Strengths
    • MoE architecture gives strong quality at low active-parameter cost
    Watch-outs
    • Newer versions lead it

    When to useOpen-weight evaluation; specific fine-tunes.

  6. 06
    Alibaba Cloud / Qwen Team

    Earlier Qwen 3 — still capable, especially MoE variants

    Strengths
    • MoE architecture gives strong quality at low active-parameter cost
    Watch-outs
    • Newer versions lead it

    When to useOpen-weight evaluation; specific fine-tunes.

    Input
    $0.30/ M tokens
    Output
    $2.40/ M tokens
    Context
    262Ktokens
    License
    apache_2_0

As of August 2026, Qwen3.7 Max leads finance benchmarks with a score of 41.0, followed by Qwen3.5-397B-A17B (38.2) and Qwen3.6 Plus (36.9). Financial accuracy is critical — our rankings penalize models that confidently produce incorrect financial information over those that appropriately express uncertainty.

Ranked by 31 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.