Llama 4 Scout 17B-16E Instruct

Released
2025-04-05
Last refreshed
2026-10-07
Status
Researched 155d 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)

LiteLLM

Gateway

Open-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.

Free OSSGCP Vertex AIMicrosoft Foundry

OpenRouter

Hybrid

Unified hybrid gateway to 500+ models from 80+ providers via a single OpenAI-compatible API, with an optional Auto Router that selects a model per prompt from market spend data.

Passthrough + feeGCP Vertex AITogether AIFireworks AI

Portkey

Gateway

Production AI gateway routing to 1,600+ LLMs with failover, load balancing, caching, and guardrails; MIT-licensed open-source core is self-hostable. Now part of Palo Alto Networks as Prisma AIRS AI Gateway.

SubscriptionGCP Vertex AIMicrosoft Foundry

AIRouter

Router

Commercial LLM router (branded "AI Router" on its site) that picks the best model per request via a Decision API or an OpenAI-compatible Chat Completions endpoint, with a private selection mode that routes on anonymized patterns; sold as BYOK subscription plans priced by routed tokens.

SubscriptionGCP Vertex AI

Amazon Bedrock Intelligent Prompt Routing

Router

AWS Bedrock's native prompt router that predicts each model's performance per request and routes between two models of the same family (Anthropic Claude, Meta Llama or Amazon Nova).

Passthrough + feeAWS Bedrock

Azure AI Foundry Model Router

Router

Microsoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.

Passthrough + feeMicrosoft Foundry

Capabilities

VisionMultimodalStructured Outputs

Benchmark peer barsfor Coding

Benchmark scores(8)

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—
Source

Source: LMArena (lmarena.ai), CC BY 4.0

62.3τ-benchObserved 2026-04-24—
69.4—Observed 2025-04-05—
74.3—Observed 2025-04-05—
32.8—Observed 2025-04-05—
28.1v4Observed 2026-10-26
Configuration: Llama-4-Scout-17B-16E-Instruct (FC)
Harness: BFCL V4 official evaluation (gorilla berkeley-function-call-leaderboard), FC mode
Evaluator: Gorilla LLM team (UC Berkeley)
Confidence: confirmed
Notes: BFCL V4 leaderboard (Last Updated 2026-04-12), entry 'Llama-4-Scout-17B-16E-Instruct (FC)': rank 72, Overall Acc 28.13%; Multi Turn 9.00%, Web Search 14.50%, Memory 8.17%, Non-Live AST 89.38%, Live 74.69%, Irrelevance 44.92%. Retrieved 2026-10-26.
1128.0vision_style_control overall 2026-10-19 (style control, default view)Observed 2026-10-26
Configuration: Llama 4 Scout 17B 16E Instruct
Harness: LMArena blind pairwise human votes, Bradley-Terry
Evaluator: LMArena
Confidence: confirmed
Notes: LMArena vision style control leaderboard, overall category, published 2026-10-19 (HF lmarena-ai/leaderboard-dataset @9761a3ce, latest split; live page https://lmarena.ai/leaderboard/vision showed the same 2026-10-19 snapshot). Board entry 'Llama 4 Scout 17B 16E Instruct': rank 127, Arena Score 1127.5 (95% CI 1118.0-1137.0), 6446 votes. Versioned arena label mapped to catalog slug llama-4-scout-17b-16e-instruct (label date equals the model's release checkpoint). Retrieved 2026-10-26.
Source

Source: LMArena (lmarena.ai), CC BY 4.0

1249.0text creative_writing 2026-10-22Observed 2026-10-22
Configuration: Llama 4 Scout 17B 16E Instruct
Harness: LMArena blind pairwise human votes, Bradley-Terry
Evaluator: LMArena
Confidence: confirmed
Notes: LMArena Text arena, Creative Writing category (no style control), board published 2026-10-22 (HF lmarena-ai/leaderboard-dataset @a467e6b9, text config, latest split). Board entry 'Llama 4 Scout 17B 16E Instruct' (category creative_writing in text/latest-00000-of-00001.parquet): rank 270 of 416, rating 1248.7 (95% CI 1238.7-1258.7), 3759 votes. Source: LMArena (CC BY 4.0). Retrieved 2026-10-27.
Source

Source: LMArena (lmarena.ai), CC BY 4.0

Migration checks

No linked migration route is available for this model yet.

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