Benchmarks / Agentic

ApprenticeBench API (NeoCognition)

An agent completes the same 100 sequential accounts-payable tasks in the Odoo ERP with diminishing mentoring, using dedicated application API calls instead of the screen interface. Maintained by NeoCognition. Score: Cumulative success rate.

27models
–Open Index weight
–last updated

ApprenticeBench API (NeoCognition)

Higher is better · best effort per model

Chart settings
27 of 27 selected

full table below

#ModelEffortScoreCost / taskHarness
1Fable 5.1max70.0%–Claude Code
2GPT-6 Astra Codexmax65.0%–Codex
3Opus 5max49.0%–Claude Code
4Fable 5max45.0%–Claude Code
5Grok 4.6max45.0%–Claude Code
6Grok 4.5max38.0%–Claude Code
7Gemini 3.8 Flashhigh34.0%–Claude Code
8Gemini 3.7 Flashhigh32.0%–Claude Code
9GPT-5.6 Sol Codexmax30.0%–Codex
10Opus 4.8max28.0%–Claude Code
11GPT-5.5 Codexxhigh27.0%–Codex
12Sonnet 5max26.0%–Claude Code
13Kimi K3max25.0%–Claude Code
14Qwen 3.8 Maxmax24.0%–Claude Code
15Muse Spark 1.3max24.0%–Claude Code
16GPT-5.6 Terra Codexmax21.0%–Codex
17DeepSeek V4 Promax21.0%–Claude Code
18GLM 5.3 Flashmax21.0%–Claude Code
19Muse Spark 1.2max19.0%–Claude Code
20DeepSeek V4 Flashmax18.0%–Claude Code
21GLM 5.2max17.0%–Claude Code
22Opus 4.7max14.0%–Claude Code
23GPT-5.6 Luna Codexmax13.0%–Codex
24Gemini 3.6 Flashhigh12.0%–Claude Code
25Muse Spark 1.1max12.0%–Claude Code
26Kimi K2.6max10.0%–Claude Code
27Qwen 3.8 Flashmax10.0%–Claude Code