AI models for finance and financial analysis

Fintech and FP&A teams use LLMs for memos, variance narratives, and research. Semrush ~260/mo for “best ai for finance”. This list prioritizes rigor and professional tone — not investment advice.

8 modelsUpdated 2026-08-27

Models in this collection

ModelTypeContextPrice
Claude Sonnet 5AnthropicChat1M tokens$3.2702/M in · $16.3509/M out
GPT-5.5OpenAIChat272k tokens$5.4503/M in · $32.7018/M out
Gemini 2.5 ProGoogleChat2M tokens$1.3626/M in · $10.9006/M out
Claude Opus 5AnthropicChat1M tokens$5.4503/M in · $27.2515/M out
o3-mini (reasoning)OpenAIChat200k tokens$1.1991/M in · $4.7963/M out
DeepSeek V4 ProDeepSeekChat1M tokens$0.4742/M in · $0.9484/M out
GPT-5.4 miniOpenAIChat272k tokens$0.8175/M in · $4.9053/M out
Claude Haiku 4.5AnthropicChat200k tokens$1.0901/M in · $5.4503/M out

Why these models

Sonnet/GPT/Gemini Pro for memos; Opus/o3-mini when reasoning is dense; Haiku/mini to classify tickets and statements.

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FAQ

Is this financial advice?
No. It is drafting/analysis assistance. Follow your internal compliance and disclaimers.
Sensitive data?
Check ZDR/caps and provider policies. Use separate keys per environment.
Exact numbers?
Pass tables as data; do not let the model “remember” prices. Verify math outside the LLM.

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