latentbrief

Model comparison

Grok 3 vs Claude Opus 4.7

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

MetricGrok 3Claude Opus 4.7
Context window131K tokens1M tokens
Input $/1M tokens$3.00$5.00
Output $/1M tokens$15.00$25.00
ModalitiesTextText · Image
Open weightsNoNo

Capability differences

CapabilityGrok 3Claude Opus 4.7
Prompt cachingNoYes

How they differ

Context handling

Grok 3

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

Claude Opus 4.7

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

Cost profile

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.

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.

Vision

Grok 3

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

Claude Opus 4.7

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

Speed

Grok 3

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

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 — 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 — 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.

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.