Ranking · AI models

Best AI models 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.

Data reviewed on Sep 8, 2026 · 6 of 17 models publish this figure.

  1. 01
    31.3Reasoning per USD
  2. 02
    11.0Reasoning per USD
  3. 03
    6.8Reasoning per USD
#ModelReasoning per USDBlended priceCost-benefitContext
01Gemini 3.8 FlashGoogle31.3$1.5034.0 pts/USD1.05M
02GPT-5.6 TerraOpenAI11.0$4.5011.4 pts/USD1.05M
03GPT-5.6 SolOpenAI6.8$8.006.9 pts/USD1.05M
04Claude Opus 5Anthropic5.4$10.005.5 pts/USD1.00M
05GPT-6 AstraOpenAI2.9$20.003.0 pts/USD1.05M
06Claude Fable 5.1Anthropic2.7$20.002.8 pts/USD1.00M

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.
Methodology and sources

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?

Gemini 3.8 Flash (31.3 pts/USD) leads this ranking, followed by GPT-5.6 Terra (11.0 pts/USD) · GPT-5.6 Sol (6.8 pts/USD). Data reviewed on Sep 8, 2026.

Which model in this ranking has the best price-performance?

Gemini 3.8 Flash: 34.0 LLM Stats index points per dollar, at a blended price of $1.50 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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