RL Environments and the Hierarchy of Agentic Capabilities
Our RL environment run on 9 models revealed the core capabilities all agents need to master: tool use, planning, adaptability, groundedness, and common sense.
Agentic Coding
sudo L7
Coding agents are getting very good at being L3s. But do they have the judgment to become L7s? Across 60 tasks, agents must navigate unfamiliar systems, choose architectures, spot hidden risks, and know when technically correct code is still the wrong thing to ship.
sudo L7 Leaderboard
1
Claude
Sonnet 5.5 (Adaptive/Max)
50.6
%
1
Claude
Opus 5.5 (Adaptive/Max)
45.6
%
1
GPT
6.1 Sol (Max reasoning)
33.9
%
1
Claude
Fable 5.1 (Adaptive/Max)
32.2
%
1
GPT
6 Astra (Max reasoning)
31.1
%
1
Qwen
3.8 Max (xHigh reasoning)
16.7
%
1
Kimi
K3.1 Pro (Max reasoning)
16.7
%
1
Gemini
4 Argon (High reasoning)
16.1
%
1
Muse
Wonder 1.0 (Max reasoning)
16.1
%
1
Hy
Hy4 Preview (High reasoning)
15.6
%
1
Mistral
Large 4 (High reasoning)
13.9
%
1
Muse
Spark 1.3 (Max reasoning)
12.8
%
1
Kimi
K3 (Max reasoning)
12.2
%
1
Grok
4.7 (xHigh reasoning)
12.2
%
1
Gemini
3.8 Flash (High reasoning)
10.6
%
1
GLM
5.3 (Max reasoning)
9.4
%
VIEW ALL BENCHMARKS
Agentic Tax
DAYJOB: Tax
DAYJOB: Tax puts agents to work on 50 professional tax assignments spanning 1,789 files: individual returns, partnerships, estates, international taxation, and more. Agents must investigate client records, identify issues the client may have overlooked, and produce reliable tax work. The strongest model, Claude Sonnet 5.5, passes 10.8% of attempts at a 95% rubric threshold.
Rank
Model
Score
10.8
%
Claude Sonnet 5.5 (Adaptive/Max)
Anthropic
1
Claude Sonnet 5.5 (Adaptive/Max)
Sonnet 5.5 (Adaptive/Max)
10.8
5728d5ac-1252-4c29-9482-b9810698ddd6
9.6
%
Claude Fable 5.1 (Adaptive/Max)
Anthropic
2
Claude Fable 5.1 (Adaptive/Max)
Fable 5.1 (Adaptive/Max)
9.6
306e34bd-38ee-473e-b8ee-5ab34c61b86a
9.2
%
Claude Opus 5.5 (Adaptive/Max)
Anthropic
3
Claude Opus 5.5 (Adaptive/Max)
Opus 5.5 (Adaptive/Max)
9.2
f6ac0e88-3b86-4686-bc94-180b522259a7
6
%
Muse Wonder 1.0 (Max)
Meta
4
Muse Wonder 1.0 (Max)
Wonder 1.0 (Max reasoning)
6
a38a3c03-14ff-4fa1-ae22-e23b334c9102
5
%
Grok 4.7 (xHigh)
xAI
5
Grok 4.7 (xHigh)
4.7 (xHigh reasoning)
5
304e38c8-6587-436a-9349-aff803f5d2e7
4.8
%
GPT 6 Astra (Max)
OpenAI
6
GPT 6 Astra (Max)
6 Astra (Max reasoning)
4.8
f06fbd6c-999b-4ec9-a438-a6bae115d8b5
4
%
GPT 6.1 Sol (Max)
OpenAI
7
GPT 6.1 Sol (Max)
6.1 Sol (Max reasoning)
4
b0ca433b-1d4e-4532-968e-a7dca80ebb4a
3.6
%
Muse Spark 1.3 (Max)
Meta
8
Muse Spark 1.3 (Max)
Spark 1.3 (Max reasoning)
3.6
3c4d9355-ed31-47d3-889e-ef41c1b876e8
3.2
%
Gemini 4 Argon (High)
Google
9
Gemini 4 Argon (High)
4 Argon (High reasoning)
3.2
4af05e84-b2a4-438a-a8f5-6dc20704ba93
1.6
%
Hy4 Preview
Tencent
10
Hy4 Preview
Hy4 Preview (High reasoning)
1.6
8242f1b1-b2e6-43b4-bb9d-26e3ec9cc389
1.2
%
DeepSeek V4.1 Flash 1017 (Max)
DeepSeek
11
DeepSeek V4.1 Flash 1017 (Max)
V4.1 Flash 1017 (Max reasoning)
1.2
68d35d26-f7cc-472c-907b-fccc62cae530
0.8
%
Gemini 3.8 Flash (High)
Google
12
Gemini 3.8 Flash (High)
3.8 Flash (High reasoning)
0.8
0dec1c04-a7f9-4674-8f75-ba3fedeff52d
0.4
%
GLM 5.3 (Max)
Zhipu AI
13
GLM 5.3 (Max)
5.3 (Max reasoning)
0.4
e7e6b0c4-3820-4b77-8e3f-4e86e795f999
0
%
Kimi K3 (Max)
Moonshot AI
14
Kimi K3 (Max)
K3 (Max reasoning)
0
11f34137-f8fb-4918-890b-7db0d3b65b05
0
%
Mistral Large 4 (High)
Mistral AI
14
Mistral Large 4 (High)
Large 4 (High reasoning)
0
b9e22405-d470-4b17-8c48-36cc6157a286
0
%
Qwen 3.8 Max
Alibaba Cloud
14
Qwen 3.8 Max
3.8 Max (xHigh reasoning)
0
c17f3b50-fc2c-4a9f-adbc-085a20c39ec0
Professional Spreadsheet Reasoning
GDP.xlsx
A spreadsheet might hold a company’s financial model, a laboratory’s results, or an engineer’s calculations. GDP.xlsx puts models to work inside these files, testing whether they can follow the evidence across a workbook and produce answers a professional could rely on.
Rank
Model
Score
38.3
%
Gemini 4 Argon (High)
Google
30.3
%
Claude Opus 5.5 (Adaptive/Max)
Anthropic
29.1
%
Claude Sonnet 5.5
Anthropic
23.1
%
Claude Fable 5.1 (Adaptive/Max)
Anthropic
22.9
%
GPT 6 Astra (Max)
OpenAI
22.6
%
Muse Spark 1.3 (Max)
Meta
Agentic Finance
DAYJOB: Finance
DAYJOB: Finance measures long-horizon finance agents across corporate finance, banking, credit, investing, and real assets. It's built around the messy reality of knowledge work: realistic requests, complex environments, and end-to-end professional judgment.
Rank
Model
Score
42.5
%
Claude Opus 5.5 (Adaptive/Max)
Anthropic
40.5
%
Claude Sonnet 5.5 (Adaptive/Max)
Anthropic
38.8
%
Muse Wonder 1.0 (Max)
Meta
37.3
%
GPT 6 Astra (Max)
OpenAI
36.5
%
Claude Fable 5.1 (Adaptive/Max)
Anthropic
33.5
%
GPT 6.1 Sol (Max)
OpenAI