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GPT-6 Luna

OpenAI

Strongest in Cybersecurity (#5 of 47), weakest in Toxicity avoidance (#208 of 268). Above par in 17 of 33 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Opus 5.5 and ahead of Claude Sonnet 4 and Inkling.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Knowledge52.8#70/197
Document parsing53#40/83
Coding51.8#74/179
Agentic coding51.9#70/173
Human preference60.6#81/354
Human preference60.6#81/354
Safety53.4#87/329
Secure code63.6#20/270
Fairness60.2#41/292
Harm refusal50.1#152/292
Jailbreak resistance50#176/268
Toxicity avoidance48.6#208/268
Reasoning49.8#103/195
Reasoning48.5#72/147
Mathematics50.7#83/152
Professional49#112/194
Cybersecurity60.2#5/47
Document design54.7#13/31
IT operations41.1#24/33
Biology research38.2#27/31
Medical53.8#58/149
Finance51.4#87/162
Legal43.8#131/173
Agents49.3#141/298
Long-horizon work43.1#20/31
Computer use54.4#25/68
Web research30#34/35
Knowledge work60.9#43/208
Core abilities44.1#156/199
Data analysis50#20/31
Language44.4#48/62
Instruction following28.6#59/62
General intelligence48.8#101/178

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for GPT-6 Luna, left for the other.

GPT-4.1 nanowon 19 · lost 3
GPT-4o miniwon 18 · lost 3
Gemma 4 31Bwon 21 · lost 5
Llama 4 Scout Instructwon 16 · lost 4
Command Awon 16 · lost 4
GPT-5.4 nanowon 16 · lost 4
DeepSeek V3won 17 · lost 5
Gemini 2.0 Flashwon 15 · lost 5
GPT OSS 120Bwon 15 · lost 7
DeepSeek R1won 15 · lost 7
Claude Haiku 4.5won 14 · lost 7
MiniMax M3won 17 · lost 9
GPT-4owon 13 · lost 7
Grok 3won 13 · lost 7
Gemini 3.5 Flash-Litewon 13 · lost 7
GPT-4.1 miniwon 14 · lost 8
DeepSeek V3.2won 14 · lost 8
Grok 4.3won 14 · lost 8
Gemini 2.5 Flashwon 13 · lost 8
Kimi K2won 13 · lost 8
GLM-4.6won 13 · lost 8
Grok 4won 12 · lost 9
O3 Miniwon 11 · lost 9
Claude 3.7 Sonnetwon 11 · lost 9
Inklingwon 16 · lost 14
Claude Sonnet 4won 12 · lost 11
DeepSeek V4 Flashwon 13 · lost 13
Qwen3.8 27Bwon 12 · lost 13
Kimi K2.5won 11 · lost 12
GLM-5.3 Flashwon 15 · lost 17
Mistral Large 4won 13 · lost 15
Gemini 3.8 Flashwon 15 · lost 18
Kimi K2.6won 10 · lost 13
Qwen3.7 Maxwon 10 · lost 13
Qwen3 235B A22B Instructwon 9 · lost 12
Step 5won 9 · lost 12
Gemini 3.6 Flashwon 11 · lost 15
Gemini 2.5 Prowon 9 · lost 13
Claude Opus 4won 8 · lost 12
Gemini 3.5 Flashwon 10 · lost 15
O4 Miniwon 8 · lost 13
GPT-4.1won 8 · lost 13
GPT-5.6 Lunawon 10 · lost 18
GLM-5.1won 7 · lost 13
GPT-5 miniwon 8 · lost 15
Claude Opus 4.6won 7 · lost 14
Claude Haiku 5.5won 9 · lost 18
O3won 7 · lost 15
GPT-5won 7 · lost 15
DeepSeek V4 Prowon 8 · lost 18
MiMo V2.6 Flashwon 7 · lost 16
GPT-5.1won 6 · lost 14
Gemini 3.1 Prowon 6 · lost 14
GLM-5.2won 7 · lost 17
MiMo V2.6 Prowon 8 · lost 20
Claude Sonnet 4.6won 6 · lost 16
GPT-5.2won 5 · lost 18
Claude Sonnet 4.5won 5 · lost 18
GPT-5.4won 5 · lost 20
Claude Sonnet 5won 5 · lost 21
GPT-6 Solwon 5 · lost 22
Grok 4.5won 5 · lost 22
Qwen3.8 Maxwon 5 · lost 24
DeepSeek V4.1 Flashwon 4 · lost 24
GPT-5.6 Solwon 4 · lost 25
Muse Spark 1.1won 3 · lost 20
Muse Spark 1.3won 3 · lost 20
Grok 4.7won 4 · lost 27
GPT-5.6 Terrawon 4 · lost 27
Claude Opus 4.7won 3 · lost 22
GLM-5.3won 2 · lost 18
Gemini 3.7 Flashwon 2 · lost 18
Grok 4.6won 3 · lost 28
Muse Wonderwon 2 · lost 21
Gemini 4 Argonwon 2 · lost 22
GPT-5.5won 2 · lost 23
Claude Opus 4.8won 2 · lost 23
Kimi K3won 2 · lost 23
Claude Sonnet 5.5won 2 · lost 25
GPT-6 Astrawon 2 · lost 26
Kimi K3.1 Prowon 1 · lost 19
Claude Fable 5.1won 1 · lost 25
GPT-6.1 Solwon 1 · lost 26
Claude Opus 5won 1 · lost 26
Claude Opus 5.5won 1 · lost 32
Claude Fable 5won 0 · lost 21

§ 3 · Sources

Where the numbers come from

11 publications, 45 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1441
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 28
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1444
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1337
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 15.2% (Codex)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 59.3%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 60.4LiveBench · Agentic 24.7LiveBench · Reasoning 81.8LiveBench · Coding 70.8LiveBench · Browser Use 70.3LiveBench · Data Analysis 73.4LiveBench · Research 48.5LiveBench · Design 76.1
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 72LiveBench 1.0 · Reasoning 81.8LiveBench 1.0 · Coding 79LiveBench 1.0 · Agentic Coding 51.2LiveBench 1.0 · Mathematics 89.1LiveBench 1.0 · Data Analysis 73.4LiveBench 1.0 · Language 73.8LiveBench 1.0 · Instruction Following 55.9
Vals.ai ↗11 measuresread 2026-11-10
Vals · Legal Research Bench 30.29%Vals · Harvey Legal Agent Benchmark 4.17%Vals · Finance Agent 49.87%Vals · MedCode 44.69%Vals · MedScribe 83.71%Vals · BioMysteryBench 61.48%Vals · CyberBench 76.25%Vals · SRE Bench 2.67%Vals · Vibe Code Bench 81.65% (OpenHands)Vals · Code Migration 42.55%Vals · ProofBench 64%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 64.13%ParseBench · Tables 87.44%ParseBench · Charts 45.71%ParseBench · Content faithfulness 84.21%ParseBench · Semantic formatting 61.81%ParseBench · Visual grounding 41.48%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 12.8%Enkrypt · Harmful content risk 0%Enkrypt · CBRN risk 33%Enkrypt · Toxicity risk 7.1%Enkrypt · Bias risk 62%Enkrypt · Insecure code risk 5.3%

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