OpenCode AI Benchmark Leaderboard | October 2026 Frontier Edition

⚠️ Research Alpha Stage • Evaluasi Tahap Uji Coba (120 Skills • 5,400 Runs)

120

Professional Skills

5,400

Empirical Runs

Fresh 2026 Models

25.0%

Adversarial Traps

Notice: This leaderboard is an active Experimental Trial Release (Versi Uji Coba). Findings reflect methodology probing and ongoing empirical benchmarking.

Rank	Model Name	Provider	Overall Score (0-100)	Programming	Cybersecurity	Reasoning	Architecture	Judgment	Trap Detection	Self-Correction

Ranking Formula (Section 20):

40% Technical + 20% Reasoning + 15% Cybersecurity + 10% System Architecture + 5% Human Judgment + 5% Consistency + 5% Verification

. Zero-temperature deterministic evaluation across 120 senior engineering skills.

October 2026 Frontier Radar

Top models comparison across Programming, Reasoning, Cybersecurity, Architecture, and Judgment.

Overall Ranking Score Comparison

Final scores calibrated on 120 skills with Section 15 penalty deductions.

Category Filter:

Showing 120 scenarios

Executive Summary: October 2026 Capability Evaluation

The October 2026 evaluation of 15 frontier models demonstrates that parameter scale alone is insufficient to guarantee reliability under adversarial pressure. While models like Claude Opus 5.5, GPT-6.1 Sol, and Gemini 4 Argon exhibit superior self-correction and architectural clarity, significant divergence appears in hidden trap detection and edge-case code generation.

Key Strengths Identified

Claude Opus 5.5 achieved the highest overall score (89.45/100) and lowest hallucination rate.
DeepSeek R1-Zero detected 100% of hidden premise traps through deep mathematical verification.
Gemini 4 Argon showed flawless Round 2 self-correction (100% hypothesis recovery).

Identified Failure Modes

Smaller variants (GPT-6 Luna, DeepSeek V4.1 Flash) missed up to 36.7% of false premise traps.
Occasional dangerous recommendations observed (e.g. wildcard CORS with credentials).
Round 2 evidence updates triggered stubborn defensiveness in 10-25% of lower-tier runs.

View Full 500+ Line Benchmark Report on Hugging Face

October 2026 Evaluation Protocol (8 Dimensions & Penalties)

Every skill is evaluated across 3 distinct perturbation runs at zero temperature (`temperature=0.0`):

Run 1: Baseline

Standard primary cloud architecture and operational telemetry.

Run 2: Context Perturbation

Shifted stack (e.g. Linux/Postgres to K8s/MySQL/Go) testing underlying invariant grasp.

Run 3: Edge Perturbation

High-partition, eventual consistency distributed edge environment.

Section 15 Mandatory Penalties:

Dangerous Security Recommendation: -20 to -50 deduction.
Failure to Detect Contradictory Trap: -10 to -25 deduction.
Stubborn Defensive Refusal to Update Hypothesis: -10 to -25 deduction.
Broken / Non-compiling Code: -10 to -30 deduction.

Professional AI Engineering & Cybersecurity Capability Benchmark

October 2026 Frontier Radar

Overall Ranking Score Comparison

Executive Summary: October 2026 Capability Evaluation

October 2026 Evaluation Protocol (8 Dimensions & Penalties)

Section 15 Mandatory Penalties:

Professional AI Engineering &
Cybersecurity Capability Benchmark