Financial Modeling (Internal) (Financial Modeling)
We show this table for reference; we do not rank on it.
Moonshot AI's internal benchmark for formula linkage, financial logic, and final workbook quality in real-world modeling tasks.
Benchmark score on Financial Modeling — October 29, 2026
We compile the Financial Modeling rows from provider self-reports. Kimi K3.1 Pro leads the table at 57.6%. We do not use these results to rank models overall.
1 modelAgenticCurrentDisplay onlyUpdated October 29, 2026
Benchmark score table (1 model)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Kimi K3.1 ProMoonshot AI | 57.6% | Not reported | Pending |
About Financial Modeling
Year
2026
Tasks
Spreadsheet financial models
Format
Internal evaluation score
Difficulty
Professional financial modeling
The value comes from the launch chart alt text, which matches the 7.2-point gain over Kimi K3 stated in the prose. BenchLM stores the provider-published internal benchmark value as display-only launch evidence and does not treat it as an independently reproducible score.
Freshness and provenance
Version
Financial Modeling 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Financial Modeling measure?
Moonshot AI's internal benchmark for formula linkage, financial logic, and final workbook quality in real-world modeling tasks.
Which model scores highest on Financial Modeling?
Kimi K3.1 Pro by Moonshot AI currently leads with a score of 57.6% on Financial Modeling.
How many models are evaluated on Financial Modeling?
1 AI models have published results on Financial Modeling in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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