Open multimodal Llama for strong reasoning with efficient everyday serving
- Context
- 1M
- Released
- 1y ago
- Parameters
- 17B
Sources:models.dev
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Meta
- Model family
- Llama
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- April 5, 2025
- Model ID
meta/llama-4-maverick-17b-instruct- Openness
- Open weights
- License
- —
- Parameters
- 17B
- Input modalities
- text, image
- Output modalities
- text
- Modality
- text+image->text
- Max output tokens
- 16K
- Knowledge cutoff
- 2024-08
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- meta/llama-4-maverick-17b-instruct
- Source family
- llama
- Last updated
- 2025-04-05
- Knowledge cutoff
- 2024-08
- Model context
- 1M
- Model output limit
- 16K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- No
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
Complete source record (JSON)
{
"id": "meta/llama-4-maverick-17b-instruct",
"name": "Llama 4 Maverick 17B Instruct",
"description": "Open multimodal Llama for strong reasoning with efficient everyday serving",
"family": "llama",
"last_updated": "2025-04-05",
"knowledge": "2024-08",
"attachment": true,
"reasoning": false,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 1000000,
"output": 16384
},
"benchmarks": [
{
"name": "Aider Polyglot",
"score": 15.6,
"source": "https://aider.chat/docs/leaderboards/",
"metric": "percent correct",
"date": "2025-04-06"
},
{
"name": "SWE-Bench Pro",
"score": 5.24,
"source": "https://labs.scale.com/leaderboard/swe_bench_pro_public",
"metric": "resolve rate",
"dataset": "public"
}
],
"release_date": "2025-04-05",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct"
}
]
}Infrastructure
Provider availability
Provider endpoint data will appear after this model's first OpenRouter endpoint sync.
Deployment graph
Can I run this?
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