What are the differences?
Between the Claude 2.1 and GPT-4 32K 0613 LLM models, which follows best instructions?
Compare
to
Claude 2.1
Anthropic
GPT-4 32K 0613
OpenAI
Overview
Claude 2.1 | GPT-4 32K 0613 | |
|---|---|---|
Provider Organization responsible for this model. | Anthropic | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 200K | 33K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | Not specified. |
Release Date The initial release date of the model. | November 23, 2023 24 months ago | June 13, 2023 29 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/2 |
Pricing
Claude 2.1 | GPT-4 32K 0613 | |
|---|---|---|
Input Costs associated with the data input to the model. | $8.00 | $0.06 |
Output Costs associated with the tokens produced by the model. | $24.00 | $0.12 |
Benchmark
Claude 2.1 | GPT-4 32K 0613 | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | ||
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1119 |
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Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
