AI models to evaluate for finance and accounting
Reconciliations, financial statement analysis and recurring reports: reliable reasoning at a cost that holds up at volume.
Criteria LLM Stats reasoning index divided by the 3:1 blended price, among models with at least 200,000 tokens of context.
- 01Claude Haiku 5.5Anthropic232.5Reasoning per USD
- 02GPT-6 LunaOpenAI196.0Reasoning per USD
- 03GPT-5.6 LunaOpenAI94.4Reasoning per USD
How it is calculated
- The indexes (overall, reasoning, coding) are the ones LLM Stats publishes; Codifly does not run these tests.
- Prices are each provider's official standard API prices, without caching or batching.
- The blended price weighs 3 input tokens per output token; cost-benefit divides the overall index by that price.
Which one fits your case?
The top of a ranking is not always the most cost-effective at your volume. Estimate your cost or ask us for a written recommendation.
Frequently asked questions
Which is the best AI model for finance & accounting?
Claude Haiku 5.5 (232.5 pts/USD) leads this ranking, followed by GPT-6 Luna (196.0 pts/USD) · GPT-5.6 Luna (94.4 pts/USD). Data reviewed on Nov 4, 2026.
Which model in this ranking has the best price-performance?
Claude Haiku 5.5: 247.0 LLM Stats index points per dollar, at a blended price of $0.20 per million tokens.
How is this ranking calculated?
LLM Stats reasoning index divided by the 3:1 blended price, among models with at least 200,000 tokens of context. The indexes (overall, reasoning, coding) are the ones LLM Stats publishes; Codifly does not run these tests. Prices are each provider's official standard API prices, without caching or batching. The blended price weighs 3 input tokens per output token; cost-benefit divides the overall index by that price.
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