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Llama 4 Maverick Instruct

Meta · 402B · open weights

Strongest in Safe-prompt compliance (#33 of 82), weakest in Agents (#246 of 298). Above par in 8 of 27 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.8 and Grok 4.7 and ahead of Gemini 2.0 Flash and GPT OSS 20B.

§ 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.

Core abilities51.1#86/199
General intelligence51.6#74/178
Safety52.4#119/329
Safe-prompt compliance55.3#33/82
Factual grounding54.4#40/104
Jailbreak resistance59.9#48/268
Toxicity avoidance55.8#84/268
Harm refusal53.2#102/292
Fairness47.6#146/292
Secure code41.6#207/270
Knowledge49.1#126/197
Academic knowledge47.7#89/123
Coding44#135/179
Agentic coding43.4#134/173
Reasoning40#168/195
Science45.4#90/122
Mathematics39.1#123/152
Reasoning37.8#128/147
Professional41.5#177/194
Legal49.6#92/173
Finance44.7#125/162
Medical31.3#146/149
Human preference49.7#201/354
Human preference49.7#201/354
Agents43.1#246/298
Tool use49.6#36/81
Knowledge work31.8#199/208

§ 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 Llama 4 Maverick Instruct, left for the other.

Gemini 1.5 Flashwon 15 · lost 2
Llama 3.3 70B Instructwon 18 · lost 3
Llama 4 Scout Instructwon 21 · lost 4
Command R+won 15 · lost 3
GPT-4o miniwon 18 · lost 6
GPT-4.1 nanowon 19 · lost 7
Mistral Medium 3.5won 12 · lost 5
Command Awon 16 · lost 8
Magistral Small 1.2won 11 · lost 6
Gemini 1.5 Prowon 12 · lost 7
Gemma 4 31Bwon 13 · lost 8
GPT OSS 20Bwon 13 · lost 9
Gemini 2.0 Flashwon 13 · lost 10
Claude 3.5 Haikuwon 10 · lost 10
GPT OSS 120Bwon 12 · lost 14
Mistral Large 3won 9 · lost 11
GLM-4.6won 10 · lost 15
GPT-4owon 9 · lost 15
Grok 4.3won 8 · lost 14
Kimi K2.5won 9 · lost 16
Ling 3.0 Flashwon 6 · lost 11
MiMo V2.6 Flashwon 7 · lost 13
O3 Miniwon 8 · lost 15
Grok 4.1 Fastwon 8 · lost 15
DeepSeek V3won 9 · lost 17
Gemini 3.1 Flash-Litewon 6 · lost 12
DeepSeek V4 Flashwon 8 · lost 16
DeepSeek V4 Prowon 8 · lost 17
Kimi K2won 8 · lost 18
Kimi K2.6won 7 · lost 16
Gemini 2.5 Flash-Litewon 6 · lost 14
GPT-5.4 nanowon 6 · lost 14
MiniMax M3won 7 · lost 17
GLM-5.3 Flashwon 7 · lost 17
Mistral Large 4won 6 · lost 15
MiMo V2.6 Prowon 6 · lost 15
Claude Haiku 4.5won 7 · lost 18
DeepSeek R1won 7 · lost 18
MiniMax M2.5won 5 · lost 13
GPT-6 Lunawon 6 · lost 16
GPT-4.1 miniwon 7 · lost 19
DeepSeek V3.2won 7 · lost 19
GLM-4.5won 5 · lost 14
Claude 3.5 Sonnetwon 5 · lost 15
GPT-5 nanowon 6 · lost 18
Grok 3won 6 · lost 18
Inklingwon 6 · lost 18
GLM-5.2won 6 · lost 18
GPT-4.1won 6 · lost 20
MiniMax M2.7won 5 · lost 17
Grok 4 Fastwon 4 · lost 14
Inkling Smallwon 4 · lost 14
Gemini 3.5 Flash-Litewon 4 · lost 14
Gemini 3.6 Flashwon 5 · lost 18
Gemini 3.8 Flashwon 5 · lost 19
Kimi K2 Thinkingwon 4 · lost 16
Qwen3 235B A22B Instructwon 5 · lost 21
Gemini 2.5 Prowon 5 · lost 21
MiMo V2.5 Prowon 4 · lost 17
GPT-5 miniwon 5 · lost 22
GPT-6 Solwon 4 · lost 18
GLM-5.1won 4 · lost 18
Qwen3.7 Maxwon 4 · lost 19
Gemini 3.5 Flashwon 4 · lost 19
GLM-4.7won 3 · lost 15
GLM-5won 3 · lost 15
GPT-6 Astrawon 3 · lost 15
GPT-5.6 Lunawon 4 · lost 20
Qwen3.8 Maxwon 4 · lost 20
Grok 4won 4 · lost 21
GPT-5.4 miniwon 3 · lost 16
Gemini 2.5 Flashwon 4 · lost 22
Claude Opus 4.5won 3 · lost 17
Claude Sonnet 4.6won 3 · lost 19
Gemini 3 Prowon 3 · lost 20
GPT-5.1won 3 · lost 21
Grok 4.6won 3 · lost 21
Grok 4.5won 3 · lost 21
GPT-5.6 Terrawon 3 · lost 21
GPT-5.4won 3 · lost 22
GPT-5.5won 3 · lost 22
GPT-5.6 Solwon 3 · lost 22
Gemini 4 Argonwon 2 · lost 15
O4 Miniwon 3 · lost 23
Qwen3.8 27Bwon 2 · lost 16
Gemini 3.1 Prowon 2 · lost 17
Claude Opus 4.6won 2 · lost 19
Claude 3.7 Sonnetwon 2 · lost 20
Claude Opus 5won 2 · lost 20
Muse Spark 1.1won 2 · lost 20
Claude Opus 5.5won 2 · lost 20
GPT-5.2won 2 · lost 23
GPT-5won 2 · lost 24
Claude Sonnet 4.5won 2 · lost 25
Kimi K3won 1 · lost 17
Grok 3 Miniwon 1 · lost 19
O1won 1 · lost 20
Claude Sonnet 5won 1 · lost 22
Claude Opus 4won 1 · lost 23
O3won 1 · lost 24
Claude Opus 4.7won 1 · lost 24
Claude Sonnet 4won 1 · lost 25
Gemini 3.7 Flashwon 0 · lost 17
DeepSeek V4.1 Flashwon 0 · lost 18
GLM-5.3won 0 · lost 18
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
Grok 4.7won 0 · lost 21
Claude Opus 4.8won 0 · lost 24

§ 3 · Sources

Where the numbers come from

11 publications, 29 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1327
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA -268
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 15.6%
BFCL ↗1 measureread 2026-11-10
BFCL v4 37.29%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 55.9%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 27.7%
Vals.ai ↗10 measuresread 2026-11-10
Vals · LegalBench 77.81%Vals · CorpFin 49.73%Vals · TaxEval 66.56%Vals · MortgageTax 58.51%Vals · MedQA 43.3%Vals · MedCode 36.51%Vals · MedScribe 54.22%Vals · GPQA Diamond 69.44%Vals · MMLU Pro 79.42%Vals · AIME 25.21%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 66.1%HELM Safety · SimpleSafetyTests 99.3%HELM Safety · Anthropic Red Team 98.2%HELM Safety · BBQ 93%HELM Safety · XSTest 96.5%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 4.5%Enkrypt · Harmful content risk 17.8%Enkrypt · CBRN risk 8.8%Enkrypt · Toxicity risk 2.2%Enkrypt · Bias risk 89.7%Enkrypt · Insecure code risk 50.2%
Vectara · Factual consistency 91.8%

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