Llama 4 Scout 17B

Llama 4 Scout is Meta’s multimodal fourth-generation Llama model, combining general language processing with image understanding in an efficient MoE architecture. Of 109 billion total parameters, only 17 billion are active per token; the context window spans 128,000 tokens. Available under the Llama 4 Community License, which contains restrictions for EU-based users regarding self-hosting and deployment.

Meta Version 4 Commercial use permitted MoE 109 B (17 B active) 128 K Context 12/2024 $0.11 / $0.34 per 1M

  • Restricted Weights
  • Server
  • Groq
  • Text
  • Vision
  • Instruction-Tuned
  • Real-Time

Sovereign Risk: MEDIUM Meta is a US company and subject to the CLOUD Act, which may allow government access to data when using the API. Weights are publicly available. The Llama 4 Community License excludes multimodal Llama 4 models for EU-domiciled entities with respect to self-hosting/deployment; end-user access via third-party APIs is to be assessed separately.

Key metrics

Score · Latency · Cost · Quality

Total Score Bronze
55.17
Routine
34.16
Reasoning
21.01

Rank #91

LLM Judge Avg
3.17
100 Coverage
Avg Task Duration
1.45
Real-Time
Token Rate
354.96
Output Rate
P95 Latency
2.88
Top 5 %
Total Tokens
38900
Output Volume
Cost per 1K
$0.0003
USD / 1K Requests
Benchmark Cost
$0.01
Total · 38900 tok

Benchmark modules

10 modules · weighted · vs. model median & top performer

Llama 4 Scout 17B Best model Ø All models
Code Quality 58.52
CLI Benchmark 82
Logical Reasoning 60.95
UX Writing 58.47
Documentation 56.38
Content Transform. 63.79
Cultural Intelligence 74.64
Synthesis Quality 33.33
Tool Execution 35
ToolUse Score 33.42
Benchmark Cost $0.01

Token efficiency & latency

Consumption per module vs. model median

Token consumption per module

Performance profile