GPT-4 (older v0314)vs
o1-pro
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
GPT-4 (older v0314): 8K (disadvantage)
o1-pro: 200K (advantage)
Cost Efficiency
Lower Cost
Prompt: $30.00M vs $150.00M
Completion: $60.00M vs $600.00M
Capabilities
GPT-4 (older v0314)
Modality: text->text
Inputs: text
o1-pro
Modality: text+image->text
Inputs: text, image, file
O
GPT-4 (older v0314)
openai/gpt-4-0314
GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 20...
Context Length8K
Prompt Price$30.00M
ReleasedMay 28, 2023
Supports:
text->textO
o1-pro
openai/o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more ...
Context Length200K
Prompt Price$150.00M
ReleasedMarch 19, 2025
Supports:
text+image->textDetailed Comparison
| Feature | ||
|---|---|---|
| Context Length | 8K | 200K |
| Prompt Price | $30.00M | $150.00M |
| Completion Price | $60.00M | $600.00M |
| Modality | text->text | text+image->text |
| Release Date | May 28, 2023 | March 19, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between GPT-4 (older v0314) and o1-pro. o1-pro offers a larger context window of 200K compared to GPT-4 (older v0314)'s 8K, though o1-pro comes at a higher cost.
GPT-4 (older v0314) Strengths
- •Competitive context size (8K)
- •More cost-effective per token
- •Specialized for text tasks
- •Proven and stable model
o1-pro Strengths
- •Larger context window (200K) for processing longer documents
- •Premium pricing for high-quality output
- •Multimodal capabilities for image analysis
- •Latest generation model
When to Use Each Model
Choose GPT-4 (older v0314) when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is important in your use case
- • Working with text-based tasks that benefit from deep analysis
Choose o1-pro when:
- • You need the larger context window for long-form content
- • Cost efficiency is not the primary concern for your budget
- • Working with images and text that require advanced processing
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