AIEvals

Benchmarks

Tax Agent Bench

Whether an agent can research a research-grade US tax question and produce a supported answer — the multi-step process a corporate tax practitioner follows from authority to conclusion.

Professional knowledgeVals AI64 models run by Vals AIUpdated 29 September 2026

How it is run

Each task is a written question about federal corporate income tax (roughly 60% of the set), partnership tax, state and local tax, transfer pricing or corporate employment tax. The agent researches with tools for as long as it needs and submits one answer, which is graded against an expert rubric with a check that its cited sources exist; the trajectory is recorded but not scored.

What it cannot tell you

The overall score can hide differences between question categories. Forms & Filings and Controversy & Precedence Analysis require several supported elements, and a model that does well on rule lookup may still miss those requirements.

Leader
Claude Fable 5.177.64% · Vals AI's own list
Top-ten spread
7.82%Leader minus tenth place, or last place in smaller fields.
Median
59.97%of the 64 rows published
No published result
9of 46 models on this site

Independent leaderboard · Vals AI

Top 64 of 64 runs by Vals AI, one harness.

#ModelScore
1Claude Fable 5.177.64%
2Gemini 4 Argon76.23%
3Claude Opus 575.06%
4Claude Sonnet 5.573.39%
5GLM 5.373.09%
6Muse Spark 1.3 Max72.44%
7Muse Spark 1 371.93%
8Grok 4.670.79%
9Claude Opus 5.570.50%
10Claude Fable 569.82%
11Kimi K368.67%
12Ember 168.04%
13GPT-5.6 Sol67.95%
14Gemini 3.8 Flash66.77%
15Qwen3.8 Max65.96%
16Grok 4.765.60%
17GPT-5.6 Terra65.20%
18MiMo V2.6 Pro64.94%
19Claude Opus 4.864.91%
20Claude Sonnet 4 664.85%
21Grok 4.564.32%
22Claude Opus 4.763.86%
23Hunyuan Hy4 Preview63.71%
24GPT-6 Astra63.34%
25Deepseek V4 Flash 073162.56%
26DeepSeek V4.1 Flash62.46%
27GPT-6.1 Sol62.31%
28Claude Sonnet 562.27%
29GLM 5.3 Flash61.96%
30GPT-5.6 Luna60.81%
31GPT-5.560.46%
32Qwen3.8 27b60.04%
33MiMo-V2.6-Flash59.90%
34GPT-6 Luna58.86%
35DeepSeek V4 Pro58.66%
36Deepseek V4 Pro58.50%
37Gemini 3.7 Flash57.66%
38Muse Spark 1.256.86%
39Gemini 3.5 Flash53.53%
40GPT-6 Sol53.05%
41Gemini 3.6 Flash49.90%
42MiniMax M349.69%
43Qwen3.7 Max47.41%
44Ling 3.0 Flash Af Rc345.70%
45Kimi K2.645.13%
46Inkling43.52%
47Inkling Small41.46%
48Qwen3.7 Plus38.71%
49Gemini 3.1 Pro37.84%
50Gemini 3 Flash Preview37.56%
51Gemini 3.5 Flash Lite37.45%
52Gpt 5.4 Mini 2026 03 1736.59%
53Mimo V2.5 Pro34.79%
54Grok 4.334.42%
55Qwen3.6 Plus32.84%
56Grok 4.20 0309 Reasoning31.24%
57Mimo V2.529.16%
58Claude Haiku 4 5 20251001 Thinking28.31%
59Mistral Medium 3.527.29%
60Gpt 5.4 Nano 2026 03 1726.58%
61MiniMax M2.725.38%
62Gemini 3.1 Flash Lite Preview20.09%
63Nemotron Lightning 3p5 30b A3b13.00%
64Mercury 2.512.41%

No published result tracked

9 of the 46 models on this site have no published number on this benchmark, so their cells in the home table stay blank rather than reading as zero.

Read this with

Benchmarks in the same category, which usually disagree with this one on purpose.

Sources

Every page used for this benchmark, read on 17 October 2026.