Model Comparison
Compare capabilities, pricing, and performance of available models on the datablocks platform.
| Model | Context Window | Max Output | Training Cutoff | Capabilities | Price/1K Tokens | Speed |
|---|---|---|---|---|---|---|
Qwen | 32,000 tokens | 2,048 tokens | 2023-09 | ChatCodeAnalysis | $0.002 | Fast |
GPT-3.5 | 16,000 tokens | 4,096 tokens | 2023-09 | ChatCodeAnalysisFunction calling | $0.002 | Fast |
GPT-4 | 128,000 tokens | 4,096 tokens | 2023-12 | ChatCodeAnalysisFunction callingVision | $0.03 | Medium |
Claude-3-Sonnet | 200,000 tokens | 4,096 tokens | 2024-02 | ChatCodeAnalysisVisionLong context | $0.015 | Fast |
How to Choose a Model
For Quick Prototyping: Qwen or GPT-3.5
Fast, cost-effective, and capable of handling most general use cases.
For Complex Reasoning: GPT-4
Best for tasks requiring deep reasoning, complex analysis, or creative content generation.
For Long Context: Claude-3-Sonnet
Ideal for processing large documents or maintaining long conversations with up to 200K tokens context.