Meta
RankedEnough results for an index.Llama 4 Maverick
Llama 4 Maverick is a standard model from Meta. 15 benchmarks count toward its index, in 7 categories.
IndexAll categories, out of 100.34.4±4.7Median 51.0
CoverageIndex weight that has results.95%
SpeedOutput tokens per second.61/sMedian 67/s
First tokenSeconds to the first output token.0.6 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.35Median $0.60
Output / 1MUS dollars per 1M output tokens.$1.00Median $2.55
ContextMaximum tokens in one request.524KMedian 262K
EloLMArena rating and rank.—Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
meta-llama/llama-4-maverick- Max outputMaximum output tokens per request.
- 33K
- Knowledge cutoffLast date of training data.
- 31 Aug 2024
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.17
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Where to run
APIs that serve this model.ProviderTypeMaker, cloud, host or router.InputOutputContext
US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).
Run locally
401.58B parameters- 16-bit
- 844.3 GB
- 8-bit
- 449.0 GB
- 4-bit
- 256.6 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
15 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseEpoch AICC BYARC Prize FoundationTerms restrict reusemodels.devMITHistory
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Llama 4 Maverick cost?
- $0.35 per 1M input tokens, $1.00 per 1M output tokens.
- How good is Llama 4 Maverick?
- Its index is 34.4 out of 100. That is place 237 of 283 ranked models.
- What is Llama 4 Maverick best at?
- Reasoning: 36.7 out of 100, place 181 of 227.
- How fast is Llama 4 Maverick?
- 61 output tokens per second, 0.6 s to the first token.
- What is the context window of Llama 4 Maverick?
- 524K tokens.
- Is Llama 4 Maverick open source?
- Yes. Its weights are published.
- When was Llama 4 Maverick released?
- April 2025.
Badge
- HTML
<a href="https://inference360.ai/models/llama-4-maverick"><img src="https://inference360.ai/badges/llama-4-maverick.svg" alt="Llama 4 Maverick on Inference360: place 237 of 283, index 34.4" height="20"></a>- Markdown
[](https://inference360.ai/models/llama-4-maverick)