latentbrief

Model comparison

Claude Opus 4.7 vs Grok 3

Claude Opus 4.7 supports text and image inputs alongside vastly larger context windows, whereas Grok 3 focuses on text-only inputs with a cost-efficient, smaller-scale context approach.

Specs

MetricClaude Opus 4.7Grok 3
Context window1M tokens131K tokens
Input $/1M tokens$5.00$3.00
Output $/1M tokens$25.00$15.00
ModalitiesText · ImageText
Open weightsNoNo

Capability differences

CapabilityClaude Opus 4.7Grok 3
Prompt cachingYesNo

How they differ

Context handling

Claude Opus 4.7

Claude Opus 4.7 handles up to 1,000,000 tokens, enabling extensive and complex reasoning across very large contexts.

Grok 3

Grok 3 supports a maximum of 131,072 tokens, targeting efficient performance within smaller contexts.

Cost profile

Claude Opus 4.7

Claude Opus 4.7 is priced at $5.0 per million input tokens and $25.0 per million output tokens, reflecting its advanced capabilities.

Grok 3

Grok 3 costs $3.0 per million input tokens and $15.0 per million output tokens, offering a more affordable solution for text-only tasks.

Vision

Claude Opus 4.7

Claude Opus 4.7 enables multimodal input by supporting both text and image processing.

Grok 3

Grok 3 is limited to text-only inputs, lacking multimodal capabilities.

Speed

Claude Opus 4.7

Claude Opus 4.7 may experience slower processing times with very large contexts due to its extensive token handling.

Grok 3

Grok 3 offers faster inference for smaller and medium-scale tasks, benefiting from its narrower context size.

Claude Opus 4.7 — what sets it apart

  • +Supports multimodal input with both text and image capabilities.
  • +Handles up to 1,000,000 tokens in context for detailed and extended reasoning tasks.

Grok 3 — what sets it apart

  • +Smaller context window enables faster response times for text-based tasks.
  • +Optimized for cost-efficient processing in applications focused on text interactions.

Claude Opus 4.7 excels in multimodal support and extensive context handling, while Grok 3 is optimized for cost-efficiency and quick processing on text-based tasks.

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