The first GPT-4 variant to support 128K tokens of context, GPT-4 Turbo shipped at 3x lower input pricing than standard GPT-4 while adding JSON mode, parallel function calling, and reproducible outputs via a seed parameter. Independent testing showed recall degrading past roughly 73K tokens, with performance matching base GPT-4 reliably up to 64K.
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GPT-4 Turbo Preview is an early-access variant of OpenAI's GPT-4 Turbo model with a 128K context window, JSON mode, and improved instruction following. It is available as the 0125 and 1106 snapshots through the API.
GPT-4 Turbo expanded the context window from 8K/32K to 128K tokens while reducing API pricing by roughly 3x. It also added JSON mode and improved function calling that were not available in the original GPT-4.
GPT-4 Turbo Preview is priced at $10 per million input tokens and $30 per million output tokens, approximately . Newer models like GPT-4o offer even better pricing.
GPT-4 Turbo scores 86.5% on MMLU (5-shot), essentially matching the standard GPT-4 (86.4%) on the same sheet while expanding the context window to 128K tokens. Independent testing shows recall degrading past roughly 73K tokens, but at 64K context and below it maintains the same quality profile that made GPT-4 the reference benchmark.
Running GPT-4 Turbo through Telnyx Inference costs $10.00 per million input tokens and $30.00 per million output tokens. Analyzing 1,000,000 documents at 2,000 tokens each would cost approximately $40,000, a 3x reduction from standard GPT-4 ($180,000 for the same workload on GPT-4 32k).
GPT-4 Turbo is accessible through the OpenAI API using model IDs like gpt-4-turbo-preview. It is also available through inference providers that offer hosted GPT-4 access.
GPT-4 Turbo is not free through the API. It may be accessible in ChatGPT Plus with usage limits. For production use, hosted inference platforms offer access with usage-based pricing.
OpenAI achieved lower pricing through architectural optimizations and a larger training dataset with a more recent knowledge cutoff (April 2024). The Turbo variant processes tokens more efficiently while maintaining comparable output quality.
GPT-4 Turbo excels at long-document analysis, code generation, and structured output tasks thanks to its 128K context window and JSON mode. For voice AI and real-time applications, its balance of capability and cost makes it a practical production choice.
