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GPT OSS 120B

OpenAI · 117B · open weights

Strongest in Secure code (#7 of 274), weakest in Toxicity avoidance (#236 of 272). Above par in 10 of 26 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of Gemma 4 31B and Claude Haiku 4.5.

§ 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.

Safety54.2#69/337
Secure code65.9#7/274
Harm refusal57.7#25/300
Fairness61.9#32/300
Safe-prompt compliance46.8#63/82
Factual grounding39.3#87/101
Jailbreak resistance42.8#211/272
Toxicity avoidance43.4#236/272
Reasoning48.6#96/178
Mathematics57#28/140
Science51.7#73/122
Reasoning37.4#127/140
Knowledge47.9#99/138
Academic knowledge47.4#91/123
Professional48.3#100/168
Medical54.2#49/140
Finance51#83/151
Legal41.7#125/151
Core abilities47.3#125/204
General intelligence46.5#126/204
Agents48.6#133/268
Knowledge work47.9#91/178
Coding41.9#142/165
Agentic coding40.7#140/157
Human preference52.4#163/342
Human preference52.4#163/342

§ 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 OSS 120B, left for the other.

GPT OSS 20Bwon 21 · lost 1
Gemini 1.5 Flashwon 15 · lost 2
Mistral Medium 3.5won 15 · lost 2
GPT-4o Miniwon 21 · lost 3
GPT-4.1 Nanowon 19 · lost 6
Llama 4 Scout Instructwon 18 · lost 6
Gemini 1.5 Prowon 14 · lost 5
Command R Pluswon 13 · lost 5
Mistral Largewon 13 · lost 5
Mistral Smallwon 14 · lost 6
Mistral Large 3won 14 · lost 6
Command Awon 16 · lost 7
Gemini 2.0 Flashwon 15 · lost 8
Gemini 2.5 Flash Litewon 12 · lost 7
Ling 3.0 Flashwon 11 · lost 7
Claude 3.5 Haikuwon 12 · lost 8
GPT-4owon 13 · lost 9
Grok 4.3won 14 · lost 10
GPT-5 Nanowon 13 · lost 10
O3 Miniwon 13 · lost 10
Grok 4.1 Fastwon 12 · lost 10
Llama 4 Maverick Instructwon 14 · lost 12
Claude Haiku 4.5won 14 · lost 12
Gemma 4 31Bwon 11 · lost 10
GPT-5.4 Nanowon 10 · lost 10
Kimi K2won 12 · lost 13
DeepSeek R1won 12 · lost 13
Grok 3won 10 · lost 11
Gemini 3.1 Flash Litewon 9 · lost 10
DeepSeek V3won 12 · lost 14
GPT-4.1 Miniwon 11 · lost 14
GPT-5.4 Miniwon 8 · lost 11
Kimi K2.6won 10 · lost 15
Mimo V2.5 Prowon 9 · lost 14
Grok 4 Fastwon 7 · lost 11
Qwen3 235B A22B Instructwon 9 · lost 15
MiniMax M3won 9 · lost 15
GLM-4.5won 7 · lost 12
O4 Miniwon 9 · lost 16
Gemini 2.5 Flashwon 9 · lost 16
Claude 3.5 Sonnetwon 7 · lost 13
Qwen3.6 Pluswon 6 · lost 12
Gemini 3.5 Flash Litewon 6 · lost 12
Grok 4won 8 · lost 16
DeepSeek V3.2won 8 · lost 17
Claude 3.7 Sonnetwon 7 · lost 15
Gemini 2.5 Prowon 8 · lost 18
GLM-4.6won 7 · lost 17
DeepSeek V4 Flashwon 7 · lost 17
GPT-5.6 Lunawon 7 · lost 17
GLM-5.3 Flashwon 7 · lost 17
Qwen3.7 Maxwon 7 · lost 17
GLM-5.2won 7 · lost 17
GPT-6 Lunawon 6 · lost 15
GPT-4.1won 7 · lost 18
Kimi K2.5won 7 · lost 18
GLM-5.1won 6 · lost 16
Claude Sonnet 4won 7 · lost 19
Mimo V2.6 Prowon 5 · lost 14
Kimi K2 Thinkingwon 5 · lost 15
Claude Opus 4won 6 · lost 18
Inklingwon 6 · lost 18
Gemini 3.5 Flashwon 6 · lost 18
Qwen3.8 Maxwon 6 · lost 18
Gemini 3.6 Flashwon 6 · lost 18
DeepSeek V4 Prowon 6 · lost 19
O1won 5 · lost 16
MiniMax M2.7won 5 · lost 16
Claude Sonnet 4.6won 5 · lost 18
Gemini 3.8 Flashwon 5 · lost 19
Gemini 3.1 Prowon 4 · lost 16
Claude Opus 4.6won 4 · lost 17
Inkling Smallwon 3 · lost 13
GLM-4.7won 3 · lost 13
GPT-6 Solwon 4 · lost 18
DeepSeek V4.1 Flashwon 3 · lost 14
Qwen3.8 27Bwon 3 · lost 15
GPT-5.6 Terrawon 4 · lost 20
GPT-5.4won 4 · lost 21
GPT-5.6 Solwon 4 · lost 21
GPT-5 Miniwon 4 · lost 22
Grok 4.7won 3 · lost 18
Gemini 3 Prowon 3 · lost 19
MiniMax M2.5won 2 · lost 14
O3won 3 · lost 21
Grok 4.5won 3 · lost 21
GPT-5.5won 3 · lost 22
Claude Sonnet 4.5won 3 · lost 23
GLM-5won 2 · lost 16
Claude Opus 4.5won 2 · lost 17
Grok 4.6won 2 · lost 22
GPT-5.1won 2 · lost 22
Claude Sonnet 5won 2 · lost 22
Muse Spark 1.1won 2 · lost 22
Claude Opus 4.7won 2 · lost 23
GPT-5won 2 · lost 24
Gemini 3 Flashwon 1 · lost 15
GPT-6 Astrawon 1 · lost 16
Muse Spark 1.2won 1 · lost 16
GLM-5.3won 1 · lost 17
Gemini 3.7 Flashwon 1 · lost 17
Kimi K3won 1 · lost 17
GPT-5.2won 1 · lost 23
Claude Opus 4.8won 1 · lost 23
Claude Opus 5won 1 · lost 23
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
Claude Opus 5.5won 0 · lost 21

§ 3 · Sources

Where the numbers come from

10 publications, 27 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1352
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 12
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 596
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 41.8%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 58.6%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 22.1%
Vals.ai ↗9 measuresread 2026-09-26
Vals · CaseLaw 48.77%Vals · LegalBench 75.94%Vals · CorpFin 58.24%Vals · TaxEval 71.59%Vals · MedQA 91.36%Vals · SWE-bench Verified 33.6% (Mini-SWE-agent)Vals · GPQA Diamond 78.54%Vals · MMLU Pro 79.17%Vals · AIME 92.6%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 100%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.5%HELM Safety · BBQ 98.5%HELM Safety · XSTest 92.7%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 18.9%Enkrypt · Harmful content risk 14.4%Enkrypt · CBRN risk 13.8%Enkrypt · Toxicity risk 10.9%Enkrypt · Bias risk 60.2%Enkrypt · Insecure code risk 1.3%
Vectara · Factual consistency 85.8%

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