Claude Sonnet 4.5vs
GPT-4
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Better
Claude Sonnet 4.5: 1.0M (advantage)
GPT-4: 8K (disadvantage)
Cost Efficiency
Lower Cost
Prompt: $3.00M vs $30.00M
Completion: $15.00M vs $60.00M
Capabilities
Claude Sonnet 4.5
Modality: text+image->text
Inputs: text, image, file
GPT-4
Modality: text->text
Inputs: text
A
Claude Sonnet 4.5
anthropic/claude-sonnet-4.5
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-ar...
Context Length1.0M
Prompt Price$3.00M
ReleasedSeptember 29, 2025
Supports:
text+image->textO
GPT-4
openai/gpt-4
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous mo...
Context Length8K
Prompt Price$30.00M
ReleasedMay 28, 2023
Supports:
text->textDetailed Comparison
| Feature | | |
|---|---|---|
| Context Length | 1.0M | 8K |
| Prompt Price | $3.00M | $30.00M |
| Completion Price | $15.00M | $60.00M |
| Modality | text+image->text | text->text |
| Release Date | September 29, 2025 | May 28, 2023 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between Claude Sonnet 4.5 and GPT-4. Claude Sonnet 4.5 offers a larger context window of 1.0M compared to GPT-4's 8K, though GPT-4 comes at a higher cost.
Claude Sonnet 4.5 Strengths
- •Larger context window (1.0M) for processing longer documents
- •More cost-effective per token
- •Multimodal capabilities for image analysis
- •Latest generation model
GPT-4 Strengths
- •Competitive context size (8K)
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Proven and stable model
When to Use Each Model
Choose Claude Sonnet 4.5 when:
- • You need the larger context window for complex tasks
- • Cost efficiency is important in your use case
- • Working with images and text that benefit from thoughtful reasoning
Choose GPT-4 when:
- • You need competitive context capability for long-form content
- • Cost efficiency is not the primary concern for your budget
- • Working with text-based tasks that require advanced processing
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