Benchmark profile

APEX-Agents-AA

Artificial Analysis' implementation of the APEX-Agents benchmark for long-horizon professional-services agent tasks.

Data verified July 23, 2026

Benchmark score on APEX-Agents-AA — July 23, 2026

BenchLM mirrors the published score view for APEX-Agents-AA. Gemini 3.5 Flash leads the public snapshot at 47.1% , followed by Kimi K3 (41.3%) and GPT-5.6 Terra (38.9%). BenchLM does not use these results to rank models overall.

1Closed

Gemini 3.5 Flash

Google

gemini-3-5-flash

47.1%

Overall 64.75Context 1M

2Closed

Kimi K3

Moonshot AI

kimi-3

41.3%

Overall 80.96Context 1.05M

3Closed

GPT-5.6 Terra

OpenAI

gpt-5-6-terra

38.9%

Overall 72.57Context 1M

27 modelsAgenticCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (27 models)

Score

Gemini 3.5 FlashGoogle · Closed

47.1%

Kimi K3Moonshot AI · Closed

41.3%

GPT-5.6 TerraOpenAI · Closed

38.9%

GPT-5.5OpenAI · Closed

37.7%

GPT-5.6 LunaOpenAI · Closed

35.8%

GLM-5.2Z.AI · Open weight

33.7%

GPT-5.4OpenAI · Closed

33.3%

Claude Opus 4.6 (Adaptive)Anthropic · Closed

33.0%

Gemini 3.1 ProGoogle · Closed

32.0%

Kimi K2.6Moonshot AI · Open weight

28.5%

GPT-5.4 miniOpenAI · Closed

28.2%

GPT-5.4 nanoOpenAI · Closed

24.9%

DeepSeek V4 Pro (Max)DeepSeek · Open weight

24.3%

Qwen3.7 PlusAlibaba · Closed

22.4%

Grok 4.3xAI · Closed

17.0%

Qwen3.5 397BAlibaba · Open weight

15.3%

Qwen3.5 397B (Reasoning)Alibaba · Open weight

15.3%

Step 3.7 FlashStepFun · Open weight

14.8%

GLM-5Z.AI · Open weight

14.5%

Gemini 3.1 Flash-LiteGoogle · Closed

12.2%

Kimi K2.5Moonshot AI · Open weight

11.5%

Kimi K2.5 (Reasoning)Moonshot AI · Closed

11.5%

MiniMax M2.7MiniMax · Open weight

10.6%

GPT-OSS 120BOpenAI · Open weight

3.1%

MiMo-V2.5-ProXiaomi · Closed

2.4%

Nemotron 3 Super 120B A12BNVIDIA · Open weight

1.8%

GPT-OSS 20BOpenAI · Open weight

0.7%

The published APEX-Agents-AA snapshot places Gemini 3.5 Flash first at 47.1%. The third row is 8.2 points behind. The broader top-10 range is 18.6 points, so the table still separates the published systems.

27 models have been evaluated on APEX-Agents-AA. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. APEX-Agents-AA is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About APEX-Agents-AA

Year

2026

Tasks

452 professional-services agent tasks

Format

Pass@1

Difficulty

Long-horizon workplace agent tasks

BenchLM stores APEX-Agents-AA as a display-only agentic row. Artificial Analysis reports pass@1 over 452 public APEX-Agents tasks spanning investment banking, management consulting, and corporate law.

APEX-Agents-AA Benchmark Leaderboard

BenchLM freshness & provenance

Version

APEX-Agents-AA 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does APEX-Agents-AA measure?

Artificial Analysis' implementation of the APEX-Agents benchmark for long-horizon professional-services agent tasks.

Which model scores highest on APEX-Agents-AA?

Gemini 3.5 Flash by Google currently leads with a score of 47.1% on APEX-Agents-AA.

How many models are evaluated on APEX-Agents-AA?

27 AI models have been evaluated on APEX-Agents-AA on BenchLM.

Compare Top Models on APEX-Agents-AA

Gemini 3.5 Flash vs Kimi K3 Kimi K3 vs GPT-5.6 Terra GPT-5.6 Terra vs GPT-5.5 GPT-5.5 vs GPT-5.6 Luna

Last updated: July 23, 2026 · BenchLM version APEX-Agents-AA 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.