latentbrief

Model comparison

Claude Sonnet 4.6 vs Llama 4 Maverick

The stark contrast in cost per million tokens is the most significant observable difference between Claude Sonnet 4.6 and Llama 4 Maverick.

Specs

MetricClaude Sonnet 4.6Llama 4 Maverick
Context window1M tokens1.0M tokens
Input $/1M tokens$3.00$0.150
Output $/1M tokens$15.00$0.600
ModalitiesText · ImageText · Image
Open weightsNoYes
ReleasedApr 2025

Capability differences

CapabilityClaude Sonnet 4.6Llama 4 Maverick
Extended thinkingYesNo
Prompt cachingYesNo
Open weightsNoYes

How they differ

Reasoning approach

Claude Sonnet 4.6

Claude Sonnet 4.6 emphasizes highly structured and nuanced reasoning outputs, favoring clarity and logical progression.

Llama 4 Maverick

Llama 4 Maverick excels at concise reasoning balancing efficiency, though it can occasionally sacrifice depth in highly complex chains.

Coding

Claude Sonnet 4.6

Claude Sonnet 4.6 provides detailed and adaptive code generation tailored to complex programming needs.

Llama 4 Maverick

Llama 4 Maverick offers robust code suggestions but with comparatively less customization or contextual adaptation.

Context handling

Claude Sonnet 4.6

Claude Sonnet 4.6 supports a 1,000,000-token context for extended dialogues and broad documents.

Llama 4 Maverick

Llama 4 Maverick slightly surpasses Claude with a 1,048,576-token window enabling larger-scale context management.

Cost profile

Claude Sonnet 4.6

Claude Sonnet 4.6 is significantly more expensive at $3.0 per 1M input tokens and $15.0 per 1M output tokens.

Llama 4 Maverick

Llama 4 Maverick is highly cost-efficient at $0.15 per 1M input tokens and $0.6 per 1M output tokens.

Vision

Claude Sonnet 4.6

Claude Sonnet 4.6 integrates multimodal capabilities, supporting image and text processing.

Llama 4 Maverick

Llama 4 Maverick similarly supports text and image processing but at lower operational cost.

Open weights

Claude Sonnet 4.6

Claude Sonnet 4.6 is a proprietary model without access to its weights.

Llama 4 Maverick

Llama 4 Maverick provides open-source model weights, enabling transparency and community-driven optimization.

Claude Sonnet 4.6 — what sets it apart

  • +Claude Sonnet 4.6 prioritizes structured multimodal reasoning for specialized use cases.
  • +Its cost profile aligns with premium applications demanding high-value or detailed task handling.
  • +The model's proprietary approach ensures controlled usage parameters.

Llama 4 Maverick — what sets it apart

  • +Llama 4 Maverick offers open-source model weights allowing for greater community contributions.
  • +The lower cost profile is aimed at budget-conscious or large-scale deployments.
  • +Slightly broader context handling supports marginally larger inputs in extended tasks.

The significant cost difference per token is the most consequential factor when integrating these models into production systems.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.