Best AI models for Finance2026-06-27

Re-ranked for finance, banking and investment workflows — weighted toward coding, reasoning and cost-efficiency, with multimodal weighted down.

June 27, 2026 at 6:00 AM·How we rank

Quick answer: The best AI model for finance right now is GPT-4o by OpenAI — scoring 97.5/100 on our finance-weighted formula.

01

97.5

GPT-4o

OpenAIRising

The multimodal frontier of AI

Real-time voice and vision understandingAdvanced reasoning and problem-solvingExceptional language generationCode generation

Full profile → Compare Try GPT-4o

Recommended for finance: Hebbia →

Hebbia is built on GPT-class models, optimized for financial research and analysis.

02

96.0

Claude 3 Opus

AnthropicStable

Vigilant AI for complex tasks

Exceptional long-context understandingStrong analytical and reasoning skillsHigh accuracy and reduced hallucinationsEthical considerations built-in

Try Claude 3 Opus

Full profile → Compare Try Claude 3 Opus

Recommended for finance: AlphaSense →

AlphaSense uses Claude-class models, optimized for market intelligence and earnings analysis.

03

95.2

Gemini 1.5 Pro

GoogleRising

Expansive context and multimodal intelligence

Massive context window (1M tokens)Strong multimodal reasoningEfficient performanceIntegrated Google ecosystem

Try Gemini 1.5 Pro

Full profile → Compare Try Gemini 1.5 Pro

04

94.4

Llama 3 70B

MetaRising

Open innovation for powerful LLMs

State-of-the-art open-source performanceStrong reasoning and coding abilitiesEfficient for its sizeCommunity support

Try Llama 3 70B

Full profile → Compare Try Llama 3 70B

05

92.4

Mistral Large

Mistral AIStable

Efficient and powerful reasoning

Strong multilingual capabilitiesHigh performance on reasoning tasksCompetitive cost-effectivenessAPI-first approach

Try Mistral Large

Full profile → Compare Try Mistral Large

06

92.2

GPT-4 Turbo

OpenAIStable

The workhorse of generative AI

Broad knowledge baseStrong reasoning capabilitiesLarge context windowImage generation integration (DALL-E)

Try GPT-4 Turbo

Full profile → Compare Try GPT-4 Turbo

Recommended for finance: Hebbia →

Hebbia is built on GPT-class models, optimized for financial research and analysis.

07

91.4

Mixtral 8x22B

Mistral AIRising

High performance open-weight model

Mixture-of-Experts (MoE) architectureStrong multilingual reasoningEfficient inference for its sizeOpen weights

Try Mixtral 8x22B

Full profile → Compare Try Mixtral 8x22B

08

88.8

Command R+

CohereRising

Enterprise-grade RAG and grounding

Retrieval-Augmented Generation (RAG) focEnterprise data security and privacyMultilingual supportTool use capabilities

Full profile → Compare Try Command R+

09

88.2

Phi-3-medium

MicrosoftRising

Powerful AI in a compact package

High performance for its sizeStrong reasoning and codingOptimized for on-device deploymentCost-effective

Try Phi-3-medium

Full profile → Compare Try Phi-3-medium

10

86.5

Gemma Pro

GoogleStable

Google's open model for responsible AI

Strong performance for its sizeResponsible AI focusIntegration with Google CloudOpen weights available

Full profile → Compare Try Gemma Pro

Why these criteria?

The three weights that move the ranking most for finance.

Reasoning (×1.3)

Valuation, scenario modelling and risk analysis are reasoning-heavy. The model needs to chain numerical and qualitative steps without losing the thread.

Coding (×1.3)

Quant teams, FP&A and middle-office workflows lean heavily on Python, SQL and spreadsheet automation — coding quality directly drives productivity.

Cost-efficiency (×1.2)

Finance teams often run AI at high volume (filings parsing, ticket triage, report generation). Per-token pricing has a real bottom-line impact.

Finance FAQ

Can I feed earnings reports and 10-Ks into ChatGPT?+

Yes — public filings carry no confidentiality issue. For internal MNPI or client-confidential data, use an enterprise tier with no-training defaults and a signed DPA, or a private deployment via Azure OpenAI / AWS Bedrock.

Which model is best for Excel and SQL automation?+

Models that score high on coding benchmarks tend to be best at structured spreadsheet and SQL work. Long-context models also help when working against large schemas or full workbooks.

Is AI safe for trading or investment decisions?+

AI can accelerate research, summarisation and code, but autonomous trading on raw LLM output is not advised. Treat it as a research assistant — keep a human in the loop and validate all numbers.

What about regulated environments (SOX, MiFID II)?+

Use enterprise tiers with audit logging, SSO and data residency controls. Private deployments via Azure OpenAI, Bedrock or Vertex AI are common in regulated banks and asset managers.

Want the full picture? Read the methodology →