Benchmark Almanac

KAET (Kimi Autonomous Execution Tasks)

Kimi K3 83.5%
Only in system cards

Agents execute long-horizon tasks that simulate real user requests and enterprise system operations.

In-house Moonshot AI evaluation. The tasks are not public.

Made by
Moonshot AI
Released
July 2026
Kind
General assistants
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Kimi K3 #24 on the capability index
Last in a system card
July 2026
Last model added
July 2026
1
Model scored in lab cards
1
System card reports it, from 1 lab

Kimi K3 leads with 83.5%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 83.5 Kimi K3
  1. 1 Kimi K3 83.5%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Kimi K3 83.5% Jul 2026 Lab model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Kimi K3 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Kimi K3

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Jul 27, 2026 Kimi K3 technical report 83.5 KAET, Kimi Code harness (Table 3) Capabilities

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  • MCP Atlas In use Multi-step workflows over real MCP servers. Scores tool-use competency on realistic tasks. Gemini 4 Argon 90.7%
  • BFCL V4 In use Models call functions and tools, including multi-turn agentic tasks with web search and memory. Checked against expected calls and outcomes. Qwen3.7-Max 75%
  • τ³-bench Banking In use Agents act as banking customer-service reps over many turns with a simulated user, following policy. Pass^1 on the final database state. Qwen 3.8 Max 55.1%
  • Toolathlon-Verified In use 108 long-horizon tasks across 32 apps through about 600 MCP tools. Execution-based checkers inspect final environment state. GLM-5.3-Flash 78.4%
  • DeepSearchQA In use Questions that need multi-step search and synthesis. Final answers graded against references. Kimi K3 95%