DualEntry accounting benchmark: Gemini 4 Argon first, Carbon in joint second place
Written by AI
Google’s Gemini 4 Argon achieved the best overall score of 24 models in a benchmark run by the accounting software company DualEntry. The new Gemini 4 Carbon shared second place and solved more hard tasks than any other model.
DualEntry announced the results on 11 November in a paid Business Wire press release, which Yahoo Finance also published. The benchmark is the company’s own, not an independent measurement. DualEntry sells mid-sized companies an ERP system in which AI agents do accounting work.
Google’s new Gemini 4 Carbon scored 88.1 per cent and Gemini 4 Argon stayed on top with 91.1 per cent, the release said. Carbon shares second place with Zhipu AI’s GLM-5.3 Flash and SpaceXAI’s Grok 4.7.
101 invented accounting cases
The benchmark contains 101 synthetic accounting cases, written for the test, across eight areas. These include journal entries, accounts payable and receivable, bank reconciliation and month-end close. No customer data is used.
Each model runs the whole benchmark three times with the same test company, tools and instructions. Fixed scoring rules compare the answers with reference answers written in advance. No AI model acts as a grader.
The table shows overall scores for the models named in the release. Argon leads the three models in joint second place by three percentage points, so a single benchmark from one company cannot show which models are better at accounting work in general.
| Model | Developer | Overall score |
|---|---|---|
| Gemini 4 Argon | 91.1% | |
| Gemini 4 Carbon | 88.1% | |
| GLM-5.3 Flash | Zhipu AI | 88.1% |
| Grok 4.7 | SpaceXAI | 88.1% |
| Kimi K3.1 Pro | Moonshot AI | 86.1% |
| Claude Fable 5.1 | Anthropic | 85.1% |
| Gemini 3.8 Flash | 83.2% | |
| Claude Opus 5.5 | Anthropic | 82.2% |
| GPT-6.1 Sol | OpenAI | 81.2% |
| GPT-6 Astra | OpenAI | 81.2% |
Source: DualEntry press release, 11 November 2026. Of the 24 models tested, the table lists those named in the release.
Carbon solved 25 of 28 hard tasks, or 89.3 per cent, the best hard-task result in the benchmark. Argon solved 82.1 per cent of them, two tasks fewer. The release said Carbon did slightly better on hard tasks than on easy ones, which is unusual.
Carbon solved every transaction classification task. Its weakest area was bank reconciliation at 66.7 per cent, where Argon scored 75 per cent and Moonshot AI’s Kimi K3.1 Pro 100 per cent.
Carbon cheaper, Argon more consistent
Argon had the benchmark’s best consistency score, 86.1 per cent; Carbon scored 80.2 per cent. Benedict Dohmen, a co-founder of DualEntry, said Argon gave the same answer in all three runs on 86 per cent of tasks. Carbon costs $0.081 per task, about 30 per cent less than Argon’s $0.115.
In the release, Dohmen said consistency is the next decisive difference for finance teams, and that an AI agent should match Argon’s consistency before it gets access to the books.
DualEntry’s page dualentry.com/benchmark lists results for all 24 models, including prices and response times.