An outdated model that's been lapped by cheaper, more capable competitors on every meaningful dimension.
Legacy integrations or applications that need slightly longer documents processed without upgrading to a modern model.
16K context window handles medium-length documents and multi-turn conversations
Fast inference with low latency compared to flagship models
Well-documented and widely supported across third-party tooling and frameworks
Lower cost than GPT-4 class models for simple, high-volume tasks
Significantly weaker reasoning and instruction-following than GPT-4o, Claude Sonnet 4, or Gemini 1.5 Pro — all available at similar or lower prices
See what OpenAI: GPT-3.5 Turbo 16k actually costs at your usage level
Based on OpenAI: GPT-3.5 Turbo 16k API pricing: $3/1M input · $4/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
Legacy integrations or applications that need slightly longer documents processed without upgrading to a modern model.. Start free — no card required.
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Similar models worth checking before you commit.
GPT-4.1 Mini is OpenAI's cost-optimized small model from the GPT-4.1 family, designed to deliver strong instruction-following and coding performance at a fraction of flagship pricing. It targets high-volume, latency-sensitive applications where cost efficiency matters more than peak capability.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-3.5 Turbo 16k (OpenAI) is now indexed. An outdated model that's been lapped by cheaper, more capable competitors on every meaningful dimension.
View modelOpenAI: GPT-3.5 Turbo 16k is best for legacy integrations or applications that need slightly longer documents processed without upgrading to a modern model.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
You're starting a new project — cheaper, faster, and smarter alternatives like GPT-4o mini or Claude Haiku 3.5 make this model obsolete.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
OpenAI: GPT-4.1 Mini is the better pick when response time matters more than maximum depth or premium quality.
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You're starting a new project — cheaper, faster, and smarter alternatives like GPT-4o mini or Claude Haiku 3.5 make this model obsolete.
At $3/$4 per million tokens, it offers poor value: GPT-4o mini outperforms it at a fraction of the cost
16K context is now considered small; competitors offer 128K–1M+ token windows as standard
GPT-4.1 Nano is OpenAI's smallest and most cost-efficient model in the GPT-4.1 family, designed for high-throughput, latency-sensitive tasks at near-commodity pricing. It offers a 1M token context window at just $0.10/1M input tokens, making it one of the cheapest large-context models available.
GPT-5 Mini is OpenAI's budget-tier distillation of GPT-5, designed for high-volume, cost-sensitive tasks that don't require full flagship reasoning depth. It supersedes GPT-4o with improved instruction following and a massively expanded 400K context window at a fraction of the cost.
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