The original March 2023 launch snapshot of GPT-4 shipped without function calling or the system message improvements that arrived in the 0613 update. A Stanford/Berkeley study later found that this snapshot scored 97.6% on prime number identification tasks where the 0613 version dropped to 2.4%, making it one of the most cited examples of capability regression between model snapshots.
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Yes, GPT-4 is a large language model developed by OpenAI, released in March 2023. The 0314 snapshot was the initial release version, documented in OpenAI's research paper.
GPT-4.1 is OpenAI's developer-focused successor to GPT-4, released in April 2025 with a 1M context window. It is a separate model from the and offers significant improvements in coding and instruction following.
GPT-4 0314 shares the 86.4% MMLU (5-shot) and 8.99 MT-Bench scores of the GPT-4 family at launch. As the original March 2023 checkpoint, it predates function calling and improved system message adherence introduced in the 0613 snapshot on the same sheet. A notable Stanford/Berkeley study found its performance on certain reasoning tasks diverged significantly from later snapshots, highlighting the instability of capability between GPT-4 versions.
The cost of utilizing this model with Telnyx Inference is $0.0010 per 1,000 tokens. For instance, analyzing 1,000,000 customer chats, assuming each chat is 1,000 tokens long, would cost $1,000.
GPT models are autoregressive transformer-based language models trained on large text corpora. The GPT-4 0314 snapshot represents one of the earliest versions of the GPT-4 architecture available through the API.
GPT-5 is currently OpenAI's most capable model, followed by GPT-4.1. The GPT-4 0314 snapshot was state-of-the-art at launch but has been surpassed by multiple generations.
The GPT-4 0314 snapshot has been deprecated by OpenAI as part of their model lifecycle management. Newer alternatives like GPT-4o and GPT-4.1 are available through inference providers with better performance and pricing.
The 0314 snapshot was the original GPT-4 release, notable for its significant jump in reasoning capability over GPT-3.5. It was the first multimodal GPT model and established the performance baseline that subsequent versions improved upon.
