Details
Developer
Anthropic
License
NA (private model)
Model parameters
NA (private model)
Supported context length
200k
Price for prompt token
$3/Million tokens
Price for response token
$15/Million tokens
Chainpoll Score
Short Context
0.97
Medium Context
1
Long Context
1
Digging deeper, here’s a look how claude-3-5-sonnet-20240620 performed across specific datasets
This heatmap indicates the model's success in recalling information at different locations in the context. Green signifies success, while red indicates failure.
This heatmap indicates the model's success in recalling information at different locations in the context. Green signifies success, while red indicates failure.
Tasks | Task insight | Cost insight | Dataset | Context adherence | Avg response length |
---|---|---|---|---|---|
Short context RAG | The model demonstrates exceptional reasoning and comprehension skills, excelling at short context RAG. It outperforms other models in mathematical proficiency, as evidenced by its strong performance on DROP and ConvFinQA benchmarks. This makes it the most affordable top tier model for RAG. | It is the best model which is nearly 5x and 2x cheaper than Opus and GPT-4o making it the preferred choice in closed source models for best performance. Although if cost is your concern its better to try out Gemini-1.5-Pro or Llama-3-70b. | Drop | 0.98 | 576 |
Hotpot | 0.96 | 576 | |||
MS Marco | 0.96 | 576 | |||
ConvFinQA | 0.99 | 576 | |||
Medium context RAG | Flawless performance making it suitable for any context length upto 25000 tokens. | Great performance but we recommed using 30x cheaper Gemini Flash. | Medium context RAG | 1.00 | 576 |
Long context RAG | Flawless performance making it suitable for any context length upto 100000 tokens. | We recommend this model for this task due to perfect score and lowest price. | Long context RAG | 1.00 | 576 |