Model profile
Llama 4 Maverick
Evidence coverage
18 of 321 tracked benchmarks are published. 1 is verified and 17 provisional. 7 of 8 categories are measured.
- Published / tracked
- 18 / 321
- Verified
- 1
- Provisional
- 17
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic4 benchmarksReported
- Coding2 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math1 benchmarkVerified
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksReported
- Inst. Following1 benchmarkReported
Llama 4 Maverick ranks #191 out of 200 models on the public leaderboard with an overall score of 23.49/100. It also ranks #90 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Llama 4 Maverick is a open weight model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 18 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Agentic (#116), while its weakest is Coding (#120). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 20.32–25.12
- MiniMax M1 80kMiniMaxCompare#19025.12MiniMax M1 80k is #190 with a score of 25.12.
- Llama 4 MaverickCurrent modelMeta#19123.49Llama 4 Maverick is #191 with a score of 23.49.
- Phi-4MicrosoftCompare#19222.69Phi-4 is #192 with a score of 22.69.
- Gemini 1.0 ProGoogleCompare#19321.78Gemini 1.0 Pro is #193 with a score of 21.78.
- Claude 3 HaikuAnthropicCompare#19421.39Claude 3 Haiku is #194 with a score of 21.39.
- Ministral 3 8BMistralCompare#19520.96Ministral 3 8B is #195 with a score of 20.96.
- Nova ProAmazonCompare#19620.32Nova Pro is #196 with a score of 20.32.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Agentic3%Eligible cohort rank #116 of 119Category score 24.2
- Coding2%Eligible cohort rank #120 of 122Category score 27.0
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #116 of 119Percentile 3rdWeight 22%4 benchmarksReported | 24.2 | #116 of 119 | 3rd | 22% | 4 benchmarks | Reported |
| CodingRank #120 of 122Percentile 2ndWeight 20%2 benchmarksReported | 27.0 | #120 of 122 | 2nd | 20% | 2 benchmarks | Reported |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 63.0 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 28.7 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 25.4 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksReported | 57.0 | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 69.4 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1043 | Not available | Not available |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic4 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Coding2 benchmarks
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math1 benchmark
FrontierMath v2 Tiers 1-3
Multimodal2 benchmarks
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Llama 4 Maverick perform overall in AI benchmarks?
Llama 4 Maverick has 18 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Llama 4 Maverick good for knowledge and understanding?
Llama 4 Maverick has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Llama 4 Maverick good for coding and programming?
Llama 4 Maverick ranks #120 out of 122 models in coding and programming benchmarks with an average score of 27. There are stronger options in this category.
Is Llama 4 Maverick good for mathematics?
Llama 4 Maverick has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Llama 4 Maverick good for reasoning and logic?
Llama 4 Maverick has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Llama 4 Maverick good for agentic tool use and computer tasks?
Llama 4 Maverick ranks #116 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 24.2. There are stronger options in this category.
Is Llama 4 Maverick good for multimodal and grounded tasks?
Llama 4 Maverick has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Llama 4 Maverick good for instruction following?
Llama 4 Maverick has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is Llama 4 Maverick open source?
Yes, Llama 4 Maverick is an open weight model created by Meta, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Llama 4 Maverick have full benchmark coverage on BenchLM?
Not yet. Llama 4 Maverick currently has 18 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Llama 4 Maverick?
Llama 4 Maverick has a published context window of 1M, which determines how much text it can process in a single interaction.
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