Skip to main content
Kaino.dev
Discover
Evals
News
Academics
Insights
Kaino.dev

Discover, evaluate, and compare AI tools, models, and agents.

Explore

  • Discover
  • Evaluations
  • News
  • Academics
  • Insights

Community

  • Twitter
  • YouTube
  • Instagram
Privacy PolicyTerms of Service

© 2026 Kaino.dev. All rights reserved.

Version 1.1.0
Llama 4 Maverick 17B-128E · Evaluations · Kaino
Llama 4 Maverick 17B-128E logo
model evaluation

Llama 4 Maverick 17B-128E

Meta

Open-weight, natively multimodal mixture-of-experts Llama 4 model with 17B active parameters, 128 experts, and a 1M-token context window.

llama-4meta
76.6KAINO SCORERecommended
Evaluated Aug 11, 20264 reviews
Website Docs GitHub

Scorecard

PricingMultimodalCostDev expTechnicalSpeedCodingReasoningRiskAdoption
  • Developer experience100
  • Technical capability100
  • Coding & agentic90
  • Pricing clarity74
  • Risk & evidence72
  • Cost effectiveness69
  • Multimodal & I/O68
  • Reasoning & knowledge59
  • Speed & availability53
  • Adoption signal38

Kainotomic evaluation

Llama 4 Maverick 17B-128E is a model from Meta. This standardized model-evaluation pass uses the stored catalog profile as evidence: Open-weight, natively multimodal mixture-of-experts Llama 4 model with 17B active parameters, 128 experts, and a 1M-token context window.

The strongest available signals are catalog use-case guidance, 8 stated capabilities, 3 public technical links, pricing notes in the catalog row, 2 evidence families with sources. The current weighted score is 76.6/100, led by technical capability at 100/100, coding and agentic work at 90/100, and developer experience at 100/100.

The main caveats are some evidence searches failed and are recorded as warnings. Treat this pending evaluation as a Kainotomic expert draft that synthesizes available public evidence rather than a claim that we ran every benchmark ourselves.

Strengths

  • Has explicit when-to-use guidance.
  • Provides documentation link.
  • Provides website link.
  • Includes pricing notes.

Caveats

  • official_provider_docs: Grounded web search failed with HTTP 401
  • deepswe_datacurve: Grounded web search failed with HTTP 429
  • swe_bench: Grounded web search failed with HTTP 401
  • livecodebench: Grounded web search failed with HTTP 401
  • artificial_analysis: Grounded web search failed with HTTP 401
  • terminal_bench_aider: Grounded web search failed with HTTP 401
  • lmarena_arena_hard: Grounded web search failed with HTTP 401