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MetaLlama 4 Scout 17B 16E Instruct

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Llama-4-Scout-17B-16E-Instruct is an open-weight vision-language model published by Meta.

Token context
10,000K tokens
Inputs
Text, Image
Outputs
Text
Released
Apr 5, 2025

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #43 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
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Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
View full ranking →

Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Llama 4 Scout 17B 16E Instruct. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.10$0.30——Oct 19, 2026Provider-reported
$0.10$0.30——Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
Berkeley Function Calling Leaderboardv4-ede5081a24bc28.13percent——Llama-4-Scout-17B-16E-Instruct (FC)unknownRecomputedwinner eligibleThird-party benchmark
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,279.16rating—29,826llama-4-scout-17b-16e-instruct; 95% CI [1274.44779094, 1283.86814615]; votes 29826; rank 273unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e1,118.23rating—6,451llama-4-scout-17b-16e-instruct; 95% CI [1108.78959993, 1127.66568063]; votes 6451; rank 127unknownOriginal sourcewinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb237.59points84750Llama 4 Scout (no thinking)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
meta-llama/Llama-4-Scout-17B-16E-Instruct
Released
Apr 5, 2025
Version
Llama-4-Scout-17B-16E-Instruct
License
other

Capacity

Token context
10,000K tokens
Maximum output
Unknown
Total parameters
108.6B
Active parameters
17B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
No
Vision
Yes
Tool calling
Yes
Capabilities
chat, generation, tools

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesmeta-llama/Llama-4-Scout-17B-16E-Instruct, meta-llama/Llama-4-Scout-17B-16E-Instruct

Explicit Unknowns

  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

meta-llama/Llama-4-Scout-17B-16E-Instruct developer model repositoryMeta · observed Aug 28, 2026meta-llama/Llama-4-Scout-17B-16E-Instruct README.md at 92f3b1597a19Meta · observed Aug 28, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026OpenRouter meta-llama/llama-4-scout model APIOpenRouter · observed Aug 29, 2026meta-llama/Llama-4-Scout-17B-16E-Instruct Hugging Face inference-provider mappingHugging Face · observed Aug 28, 2026meta-llama/Llama-4-Scout-17B-16E-Instruct immutable Hub API metadataMeta · observed Aug 28, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026Together Ai catalogTogether Ai · observed Oct 19, 2026

Comparable Peers

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Questions

Llama 4 Scout 17B 16E Instruct FAQs

What is Llama 4 Scout 17B 16E Instruct?+

Llama-4-Scout-17B-16E-Instruct is an open-weight vision-language model published by Meta. It is developed by Meta and its current sourced lifecycle status is active.

What inputs and outputs does Llama 4 Scout 17B 16E Instruct support?+

Llama 4 Scout 17B 16E Instruct's current record lists Text and Image as input and Text as output.

How much context does Llama 4 Scout 17B 16E Instruct support?+

The current record lists a 10,000K-token context window and does not report a maximum output length.

Is Llama 4 Scout 17B 16E Instruct available through an API?+

Llama 4 Scout 17B 16E Instruct is marked as API-available. The directly sourced provider records currently include Deepinfra, Hugging Face, Openrouter, and Together Ai.

How large is Llama 4 Scout 17B 16E Instruct?+

The current record lists 108.6B total parameters and 17B active parameters. Its architecture is Llama4ForConditionalGeneration.

What capabilities and tasks does Llama 4 Scout 17B 16E Instruct support?+

Llama 4 Scout 17B 16E Instruct's recorded capabilities are chat, generation, and tools. Its supported tasks are image and text.

How much does Llama 4 Scout 17B 16E Instruct cost through an API?+

The lowest directly sourced prices currently attached to Llama 4 Scout 17B 16E Instruct are $0.10 per million input tokens through Deepinfra and $0.30 per million output tokens through Deepinfra. Prices are provider-specific and should be checked against each cited observation date.

Can Llama 4 Scout 17B 16E Instruct be self-hosted?+

Llama 4 Scout 17B 16E Instruct is an open-weight model. Self-hosting is supported, and the recorded license is other.

Does Llama 4 Scout 17B 16E Instruct have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are meta-llama/Llama-4-Scout-17B-16E-Instruct.

Which models can Llama 4 Scout 17B 16E Instruct be compared with?+

The current compatible peer set includes Llama 4 Maverick 17B 128E Instruct, Command A Plus 05 2026 BF16, Llama 3.1 405B, Llama 4 Maverick 17B 128E, and Ministral 3 14B Instruct 2512. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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