OpenAI GPT-4 Model Comparison#
| Model Name | Description | Context Window | Training Data |
|---|---|---|---|
| gpt-4-0125-preview | The latest GPT-4 Turbo model designed to reduce "laziness" and reliably complete tasks. Outputs up to 4,096 tokens. | 128,000 tokens | Up to December 2023 |
| gpt-4-turbo-preview | Currently points to gpt-4-0125-preview. | 128,000 tokens | Up to December 2023 |
| gpt-4-1106-preview | GPT-4 Turbo model with improved instruction following, JSON mode, repeatable output, and parallel function invocation. Outputs up to 4,096 tokens. This is a preview model. | 128,000 tokens | Up to April 2023 |
| gpt-4-vision-preview | GPT-4 with the ability to understand images in addition to all GPT-4 Turbo features. Currently points to gpt-4-1106-vision-preview. | 128,000 tokens | Up to April 2023 |
| gpt-4-1106-vision-preview | GPT-4 with the ability to understand images in addition to all GPT-4 Turbo features. Outputs up to 4,096 tokens. This is a preview model version. | 128,000 tokens | Up to April 2023 |
| gpt-4 | Currently points to gpt-4-0613. See ongoing model upgrades. | 8,192 tokens | Up to September 2021 |
| gpt-4-0613 | Snapshot of gpt-4 on June 13, 2023, with improved function invocation support. | 8,192 tokens | Up to September 2021 |
| gpt-4-32k | Currently points to gpt-4-32k-0613. See ongoing model upgrades. This model is not widely released and supports GPT-4 Turbo. | 32,768 tokens | Up to September 2021 |
| gpt-4-32k-0613 | Snapshot of gpt-4-32k on June 13, 2023, with improved function invocation support. This model is not widely released and supports GPT-4 Turbo. | 32,768 tokens | Up to September 2021 |
Note:
- "Token" is a unit of measurement for text length, approximately equivalent to 4 characters or 0.75 English words.
Comparison of Gemini-1.0-pro, Gemini-1.5-pro, and Gemini-1.0-ultra#
| Model Name | Description | Context Window | Training Data |
|---|---|---|---|
| Gemini-1.0-pro | The first professional version of the Gemini model with powerful language understanding and generation capabilities. | 8,192 tokens | Up to X month 2023 |
| Gemini-1.5-pro | Updated version of the Gemini model with significant improvements in instruction following, multi-turn dialogue, and code generation. | 16,384 tokens | Up to X month 2023 |
| Gemini-1.0-ultra | Ultra-large version of the Gemini model with larger model size and stronger capabilities, but requires higher computational resources. | 1048576 tokens | Up to X month 2023 |
Key Differences:
- Model Size: Gemini-1.0-ultra has the largest model size, followed by Gemini-1.5-pro, and Gemini-1.0-pro. Generally, larger model sizes indicate stronger capabilities but require higher computational resources.
- Context Window: Gemini-1.0-ultra has the largest context window, allowing it to handle longer text sequences and more complex dialogues.
- Instruction Following: Both Gemini-1.5-pro and Gemini-1.0-ultra have improved instruction following, enabling more accurate adherence to user instructions.
- Multi-turn Dialogue: Both Gemini-1.5-pro and Gemini-1.0-ultra can engage in deeper and more coherent multi-turn dialogues.
- Code Generation: Both Gemini-1.5-pro and Gemini-1.0-ultra have significant improvements in code generation, allowing them to generate more accurate and complex code.
Claude Model Comparison#
| Model Name | Description | Context Window | Training Data |
|---|---|---|---|
| Claude Haiku | Introductory version of the Claude model, fastest in speed but weaker in capability. | 2,048 tokens | Up to March 2024 |
| Claude Sonnet | Standard version of the Claude model, strikes a balance between speed and capability. | 8,192 tokens | Up to March 2024 |
| Claude Opus | Advanced version of the Claude model, strongest in capability but slowest in speed. | 1048576 tokens | Up to March 2024 |
Detailed Descriptions#
Claude Haiku is the introductory version of the Claude model. It has the fastest speed, capable of processing large amounts of information in a short time and providing real-time responses. However, it has weaker capabilities and may not perform well on complex tasks.
Claude Sonnet is the standard version of the Claude model. It strikes a balance between speed and capability, able to process large amounts of information in a shorter time and provide accurate responses. It is suitable for applications that require a balance between speed and capability.
Claude Opus is the advanced version of the Claude model. It has the strongest capabilities, able to understand complex information and generate creative content. However, it has the slowest speed and requires more powerful hardware to run.
Model Selection#
Choosing the appropriate Claude model depends on your specific needs. If you need a model that is fast and capable of handling simple tasks, Claude Haiku is the best choice. If you need a model that balances speed and capability, Claude Sonnet is the best choice. If you need a model with the strongest capabilities, Claude Opus is the best choice.
Here are some recommendations for model selection:
- Claude Haiku is suitable for the following scenarios:
- Applications that require quick responses, such as chatbots, voice assistants
- Scenarios with limitations on model size and computational resources
- Claude Sonnet is suitable for the following scenarios:
- Applications that require higher accuracy, such as machine translation, content generation
- Scenarios with certain requirements on model size and computational resources
- Claude Opus is suitable for the following scenarios:
- Applications that require the highest accuracy, such as paper summarization, creative writing
- Scenarios with sufficient computational resources