Meta model product
Llama 4 Maverick is a natively multimodal model capable of processing both text and images.
Updated Aug 17, 2026. Default version: Llama 4 Maverick
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 4 Maverick.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMGSM | Score92.3% | Rank01 | Participants31 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkTydiQA | Score31.7% | Rank01 | Participants2 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkChartQA | Score90.0% | Rank02 | Participants26 | Percentile96.0% | EvidenceC | Evaluated |
| BenchmarkDocVQA | Score94.4% | Rank07 | Participants28 | Percentile77.8% | EvidenceC | Evaluated |
| BenchmarkMathVista | Score73.7% | Rank08 | Participants39 | Percentile81.6% | EvidenceC | Evaluated |
| BenchmarkMBPP | Score77.6% | Rank16 | Participants33 | Percentile53.1% | EvidenceC | Evaluated |
| BenchmarkMMMU | Score73.4% | Rank25 | Participants63 | Percentile61.3% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score85.5% | Rank39 | Participants101 | Percentile62.0% | EvidenceC | Evaluated |
| BenchmarkMATH | Score61.2% | Rank46 | Participants71 | Percentile35.7% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score43.4% | Rank51 | Participants75 | Percentile32.4% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score59.6% | Rank53 | Participants68 | Percentile22.4% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score80.5% | Rank57 | Participants134 | Percentile57.9% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score69.8% | Rank136 | Participants239 | Percentile43.3% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision | Categoryoverall | Rank99 | Rating / score1143.0 | Votes6,998 | ObservationsN/A | Result date |
| Arenavision style control | Categoryoverall | Rank99 | Rating / score1146.8 | Votes6,998 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank226 | Rating / score1327.0 | Votes40,065 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank234 | Rating / score1287.5 | Votes40,065 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNanoGPT | Provider model IDmeta-llama/llama-4-maverick | Regionglobal | Input / 1M$0.15 | Output / 1M$0.60 | Context1M | Updated |
| ProviderHelicone | Provider model IDllama-4-maverick | Regionglobal | Input / 1M$0.15 | Output / 1M$0.60 | Context131.1K | Updated |
| ProviderOpenRouter | Provider model IDmeta-llama/llama-4-maverick | Regionglobal | Input / 1M$0.20 | Output / 1M$0.80 | Context1M | Updated |
| ProviderDigitalOcean | Provider model IDllama-4-maverick | Regionglobal | Input / 1M$0.20 | Output / 1M$0.696 | Context128K | Updated |
| ProviderNeon | Provider model IDllama-4-maverick | Regionglobal | Input / 1M$0.50 | Output / 1M$1.5 | Context1M | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Llama 4 Maverick. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderSambanova | Output Speed638.7 tok/s | Catalog Latency2.04 s | Max Input1M | Max Output1M | Updated |
| ProviderGroq | Output Speed307.3 tok/s | Catalog Latency0.27 s | Max Input1M | Max Output1M | Updated |
| ProviderTogether | Output Speed97.93 tok/s | Catalog Latency0.2 s | Max Input1M | Max Output1M | Updated |
| ProviderLambda | Output Speed93.69 tok/s | Catalog Latency0.65 s | Max Input1M | Max Output1M | Updated |
| ProviderDeepInfra | Output Speed83.59 tok/s | Catalog Latency0.38 s | Max Input1M | Max Output1M | Updated |
| ProviderNovita | Output Speed69.42 tok/s | Catalog Latency0.62 s | Max Input1M | Max Output1M | Updated |
| ProviderFireworks | Output Speed63.03 tok/s | Catalog Latency0.62 s | Max Input1M | Max Output1M | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLlama 4 Maverick | Released | LLMBoard24.2 | Parameters400B | Context1M | Max output1M | Open weightsNo | LicenseLlama 4 Community License Agreement |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Llama 4 Maverick and its available data.
Llama 4 Maverick is a natively multimodal model capable of processing both text and images. It features a 17 billion active parameter mixture-of-experts (MoE) architecture with 128 experts, supporting a wide range of multimodal tasks such as conversational interaction, image analysis, and code generation.
The model includes a 1 million token context window.
Data as of 2026-08-17.
Common questions about Llama 4 Maverick.
Llama 4 Maverick's default version was released on Apr 5, 2025.
No official standard PAYG price is currently available for Llama 4 Maverick. The lowest tracked third-party offer starts at $0.15 input and $0.60 output via NanoGPT.
Llama 4 Maverick was created by Meta.
The default version has a 1M token context window.
No. The default version is not marked as having publicly available weights.
5 provider offerings are linked to the default version.
Nearby ranked alternatives include Phi 4 Reasoning Plus, DeepSeek-V3, Qwen2 VL 72B.