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gpt-4-32k-0314

The March 2023 snapshot of GPT-4 with a 32,768-token context window, supporting longer documents and detailed analysis across complex reasoning tasks.

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about

This frozen March 2023 checkpoint was one of the rarest OpenAI models ever offered, restricted behind a separate waitlist even after GPT-4 API access opened broadly in July 2023. At $0.06/$0.12 per thousand tokens, it was the most expensive chat model OpenAI sold, and was made obsolete within months when GPT-4 Turbo delivered 128K context at a lower price.

Licenseopenai
Context window(in thousands)128,000

Use cases for gpt-4-32k-0314

  1. Long-form contract review: The 32K context window accommodates full legal documents for clause-by-clause analysis without splitting across multiple API calls.
  2. Extended conversation memory: Retaining 32,768 tokens of dialogue history makes it suited for multi-turn advisory sessions where prior context shapes each response.
  3. Codebase-level analysis: It can ingest entire modules or configuration files in one prompt, enabling cross-file dependency analysis and architectural review.

Quality

Arena EloN/A
MMLUN/A
MT BenchN/A

GPT-4 32k shares the same model weights and 86.4% MMLU (5-shot) score as the standard GPT-4, with the 32k context window being the only architectural difference. On MT-Bench it scored 8.99, the highest of any model at launch. Compared to GPT-3.5 Turbo (70.0% MMLU) on the same sheet, it represents a 16-point improvement in general knowledge.

Claude-Opus-4-6

1501

GLM-5

1456

gpt-5.1

1455

Kimi-K2.5

1454

gpt-5.2

1440

pricing

Running GPT-4 32k through Telnyx Inference costs $60.00 per million input tokens and $120.00 per million output tokens. Processing 100,000 long-document analyses at 10,000 tokens each would cost approximately $60,000 input plus $120,000 output. For most workloads, GPT-4 Turbo ($10/$30 per million tokens) on the same sheet offers comparable quality at one-sixth the cost.

What's Twitter saying?

  • Developers praise GPT-4 32k's expanded 32,768-token context for enabling better conversations, complex reasoning, and handling larger codebases or refactors compared to the 8k version.
  • Benchmarks show strong coding performance, like leading in code programming tasks and 86.6% on HumanEval, though it struggles on Leetcode hard (3/45) without repeated prompting.
  • High costs are a major complaint, with 32k context ballooning expenses to $15,000 for 100k requests versus $400 for GPT-3.5 turbo, limiting intensive use.

Explore Our LLM Library

Discover the power and diversity of large language models available with Telnyx. Explore the options below to find the perfect model for your project.

Organizationdeepseek-ai
Model NameDeepSeek-R1-Distill-Qwen-14B
Taskstext generation
Languages SupportedEnglish
Context Length43,000
Parameters14.8B
Model Tiermedium
Licensedeepseek

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faqs

What is the difference between GPT-4 and GPT-4 32k?

GPT-4 32K extends the standard GPT-4's 8K context window to 32,768 tokens, allowing it to process longer documents and conversations in a single request. The underlying model architecture and capabilities are identical, with the larger context window being the only difference.

How much is GPT-4 32k Azure?

GPT-4 32K pricing on Azure is $60 per million input tokens and $120 per million output tokens, making it significantly more expensive than standard GPT-4. Alternative platforms like Telnyx provide access to GPT-4 variants through their inference infrastructure.

Why is GPT-4 going away?

OpenAI is gradually retiring older GPT-4 snapshots as newer models like GPT-4o and GPT-4.1 offer better performance at lower cost. The 0314 snapshot was one of the earliest GPT-4 releases and has been superseded by multiple iterations.

What is GPT-4 128K?

GPT-4 128K refers to GPT-4 Turbo, which expanded the context window from 32K to 128,000 tokens while reducing API pricing. It also added features like JSON mode and improved instruction following that were not available in the original GPT-4 32K.

Which GPT version is smartest?

GPT-5 currently holds the top position across most benchmarks, followed by GPT-4.1 and GPT-4o. The GPT-4 32K 0314 snapshot was considered state-of-the-art at launch in March 2023 but has since been surpassed by multiple generations.