Best AI models for Finance2026-05-13

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

May 13, 2026 at 6:00 AM·How we rank

Quick answer: The best AI model for finance right now is GPT-4o by OpenAI — scoring 98.4/100 on our finance-weighted formula.

01

98.4

GPT-4o

OpenAIRising

The multimodal frontier of AI interaction.

Multimodal understanding (text, audio, vAdvanced reasoningReal-time interactionCoding assistance

Full profile → Compare Try GPT-4o

Recommended for finance: Hebbia →

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

02

96.7

Claude 3 Opus

AnthropicRising

Unparalleled analytical depth and nuanced understanding.

Complex document analysisEthical considerationsLong context windowPrecise summarization

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

94.9

Gemini 1.5 Pro

GoogleStable

Vast context and multimodal capabilities.

Massive context window (1M tokens)Multimodal understandingEfficient performanceIntegration with Google ecosystem

Try Gemini 1.5 Pro

Full profile → Compare Try Gemini 1.5 Pro

04

93.3

LLaMA 3 70B

Meta AIRising

High-performance open-source model.

Strong reasoning abilitiesEfficient for its sizeOpen-source accessibilityFine-tuning flexibility

Try LLaMA 3 70B

Full profile → Compare Try LLaMA 3 70B

05

91.8

Mistral Large

Mistral AIStable

Efficient, performant, and multilingual.

Strong multilingual capabilitiesHigh performance-to-cost ratioReasoning and coding proficiencyReduced latency

Try Mistral Large

Full profile → Compare Try Mistral Large

06

90.6

Command R+

CohereRising

Enterprise-grade RAG and grounded generation.

Retrieval-Augmented Generation (RAG)Enterprise-focused featuresGrounded responsesMultilingual support

Full profile → Compare Try Command R+

07

89.4

GPT-3.5 Turbo

OpenAIStable

The accessible workhorse for everyday tasks.

Speed and cost-effectivenessVersatile for many tasksLarge developer communityGood conversational ability

Try GPT-3.5 Turbo

Full profile → Compare Try GPT-3.5 Turbo

Recommended for finance: Hebbia →

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

08

88.3

Mixtral 8x22B

Mistral AIRising

High-performance Mixture-of-Experts model.

Expertly handles code and multilingual tStrong reasoningEfficient inferenceOpen-source availability

Try Mixtral 8x22B

Full profile → Compare Try Mixtral 8x22B

09

85.9

Grok-1.5

xAIRising

Real-time information access and conversational AI.

Access to up-to-date information (via X)Humorous and direct toneLong context window capabilityRapid development

Full profile → Compare Try Grok-1.5

10

85.0

Falcon 180B

Technology Innovation Institute (TII)Stable

Massive open-source model for diverse tasks.

Large parameter countStrong performance on benchmarksOpen-source accessibilityMultilingual capabilities

Try Falcon 180B

Full profile → Compare Try Falcon 180B

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 →