Llama 4 Scout 17B-16E Instruct

Released
2025-04-05
Last refreshed
2026-10-07
Status
Researched 140d ago
Open weightsCommercial use: restrictedMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use
AI at Meta releases · 11 in the last 12 monthsChangelog →
Specifications
Family
Llama 4
Released
2025-04-05
Context
10M
Parameters
109B (17B active)
Architecture
Mixture of Experts
Knowledge cutoff
2024-08
Specialization
general
Openness
Open weights
License
Llama 4 CommunityRestricted
Weights
Unknown
Code
Unknown
Training
Pretrained
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.220
Input / 1M
$0.170

Cheapest of 12 routes · AWS Bedrock

About

Meta's Llama 4 Scout is a 17-billion parameter mixture-of-experts model with 16 expert routing. Optimized for efficient inference on edge and cloud environments with strong multi-turn conversation capabilities. Available on Cloudflare Workers AI.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ B

Agents

Q/$ A

Providers(12)

Compare all 12

Compare API pricing across 12 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
AWS Bedrock$0.170$0.220
Serverless
Scheduled retirement: March 30, 2027
DeepInfra$0.080$0.300
Serverless
GroqCloud$0.110$0.340
Serverless
Novita AI$0.180$0.590
Serverless
OpenRouter$0.180$0.590
Serverless
GCP Vertex AI$0.200$0.650
Serverless
Vercel AI Gateway$0.170$0.660
Serverless
Microsoft Foundry$0.200$0.780
Serverless
Cloudflare Workers AI$0.270$0.850
Serverless
Fireworks AI--
ServerlessPartial
NVIDIA NIM--
ServerlessPartial
Together AI--
ServerlessPartial

Available via routers & gateways(16)

Capabilities

VisionMultimodalStructured Outputs

Benchmark peer barsfor Coding

Benchmark scores(5)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
1295.0—Observed 2026-04-15—
62.3τ-benchObserved 2026-04-24—
69.4—Observed 2025-04-05—
74.3—Observed 2025-04-05—
32.8—Observed 2025-04-05—

Migration checks

No linked migration route is available for this model yet.

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