GPT-4vs GPT-4 Turbo (older v1106)
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
GPT-4: 8K (disadvantage)
GPT-4 Turbo (older v1106): 128K (advantage)
Cost Efficiency
Higher Cost
Prompt: $30.00M vs $10.00M
Completion: $60.00M vs $30.00M
Capabilities
GPT-4
Modality: text->text
Inputs: text
GPT-4 Turbo (older v1106)
Modality: text->text
Inputs: text
O
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->textO
GPT-4 Turbo (older v1106)
openai/gpt-4-1106-preview
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023....
Context Length128K
Prompt Price$10.00M
ReleasedNovember 6, 2023
Supports:
text->textDetailed Comparison
| Feature | | |
|---|---|---|
| Context Length | 8K | 128K |
| Prompt Price | $30.00M | $10.00M |
| Completion Price | $60.00M | $30.00M |
| Modality | text->text | text->text |
| Release Date | May 28, 2023 | November 6, 2023 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between GPT-4 and GPT-4 Turbo (older v1106). GPT-4 Turbo (older v1106) offers a larger context window of 128K compared to GPT-4's 8K, though GPT-4 comes at a higher cost.
GPT-4 Strengths
- •Competitive context size (8K)
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Proven and stable model
GPT-4 Turbo (older v1106) Strengths
- •Larger context window (128K) for processing longer documents
- •More cost-effective per token
- •Specialized for text tasks
- •Latest generation model
When to Use Each Model
Choose GPT-4 when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is not the primary concern in your use case
- • Working with text-based tasks that benefit from deep analysis
Choose GPT-4 Turbo (older v1106) when:
- • You need the larger context window for long-form content
- • Cost efficiency is important for your budget
- • Working with text-based tasks that require advanced processing
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