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BenchLM

EEBench V1 core corpus (EEBench)

We show this table for reference; we do not rank on it.

An electrical-engineering agent benchmark maintained by atopile.

EEBench score on EEBench — September 22, 2026 snapshot

We mirror the published eebench score view for EEBench. Claude Opus 5.5 leads the public snapshot at 75.0%, followed by GPT-6 Astra (69.3%) and Claude Opus 5.5 (68.9%). We do not use these results to rank models overall.

36 modelsCodingCurrentDisplay onlyUpdated September 22, 2026 snapshot

EEBench score table (36 models)

Score
1
Claude Opus 5.5Anthropic · ClosedClaude Code
75.0%
2
GPT-6 AstraOpenAI · ClosedCodex CLI
69.3%
3
Claude Opus 5.5Anthropic · ClosedClaude Code
68.9%
4
Grok 4.7xAI · ClosedGrok CLI
64.0%
5
Claude Opus 5Anthropic · ClosedClaude Code
61.6%
6
Grok 4.6xAI · ClosedGrok CLI
57.1%
7
Claude Fable 5.1Anthropic · ClosedClaude Code
56.4%
8
GPT-6 SolOpenAI · ClosedCodex CLI
56.3%
9
Gemini 3.8 FlashGoogle · ClosedGemini CLI
55.4%
10
Claude Fable 5Anthropic · ClosedClaude Code
54.3%
11
Claude Opus 4.8Anthropic · ClosedClaude Code
51.4%
12
Grok 4.5xAI · ClosedGrok CLI
50.9%
13
Gemini 3.1 ProGoogle · ClosedGemini CLI
46.3%
14
GPT-5.5OpenAI · ClosedAPI tools
42.3%
15
Claude Sonnet 5Anthropic · ClosedClaude Code
40.3%
16
GPT-5.6 SolOpenAI · ClosedAPI tools
39.4%
17
GPT-5.4OpenAI · ClosedAPI tools
38.5%
18
Kimi K3Moonshot AI · ClosedOpenRouter
38.3%
19
Gemini 3.6 FlashGoogle · ClosedGemini CLI
37.4%
20
Claude Opus 4.8Anthropic · ClosedClaude Code
35.2%
21
Gemini 3.5 FlashGoogle · ClosedGemini CLI
34.3%
22
GPT-5.6 Sol ProOpenAIOpenRouter
32.2%
23
GPT-6 LunaOpenAI · ClosedCodex CLI
31.1%
24
GPT-5.6 TerraOpenAI · ClosedAPI tools
30.8%
25
Claude Sonnet 4.6Anthropic · ClosedClaude Code
20.4%
26
Gemini 3 FlashGoogle · ClosedGemini CLI
19.5%
27
GPT-5.4 miniOpenAI · ClosedAPI tools
18.3%
28
Grok Build 0.1xAI · ClosedGrok CLI
18.0%
29
GLM-5.2Z.AI · Open weightOpenRouter
16.7%
30
Grok 4.3xAI · ClosedOpenRouter
14.3%
31
Kimi K2.7 CodeMoonshot AI · Open weightOpenRouter
12.8%
32
Qwen3.6 PlusAlibaba · ClosedOpenRouter
12.7%
33
DeepSeek V4 Pro 0813DeepSeek · Open weightOpenRouter
10.5%
34
MiniMax M3MiniMax · Open weightOpenRouter
9.2%
35
Mistral Medium 3.5MistralOpenRouter
5.9%
36
Claude Haiku 4.5Anthropic · ClosedClaude Code
3.5%

How we show EEBench

We mirror the official EEBench V1 leaderboard generated on September 22, 2026 snapshot. The snapshot preserves all 36 published model-and-scaffold configurations together with uncertainty, attempt, cost, token, step, and duration fields.

EEBench is display only. The public results combine a model with scaffolds such as Claude Code, Grok CLI, Gemini CLI, API tools, or OpenRouter, so we keep them outside weighted model-only rankings.

Snapshot

36 configurations13 questions34 mapped rowsDisplay only

The published EEBench snapshot places Claude Opus 5.5 first at 75.0%. The third row is 6.1 points behind. The broader top-10 range is 20.7 points, so the table still separates the published systems.

36 models have been evaluated on EEBench. The benchmark falls in the Coding category. EEBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About EEBench

Year

2026

Tasks

Electrical-engineering design tasks

Format

Agent task score

Difficulty

Professional electrical engineering

The public leaderboard exposes score, cost, and output-token fields. BenchLM stores the Grok 4.6 card comparison as display-only system evidence.

Freshness and provenance

Version

EEBench 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.

Questions

What does EEBench measure?

An electrical-engineering agent benchmark maintained by atopile.

Which model leads the published EEBench snapshot?

Claude Opus 5.5 currently leads the published EEBench snapshot with 75.0% eebench score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on EEBench?

The September 22, 2026 snapshot snapshot contains 36 AI models.

Last updated: September 22, 2026 snapshot · mirrored from the public benchmark leaderboard

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