GPT-3.5 Turbo (older v0613) vs GPT-4.1 Mini (Comparative Analysis)
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Comparative Analysis: GPT-3.5 Turbo (older v0613) vs. GPT-4.1 Mini
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Overview
GPT-3.5 Turbo (older v0613) was released 1 year before GPT-4.1 Mini.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 4.1K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4.1K tokens | 32.8K tokens |
Release Date When this model first became publicly available | January 25, 2024 2 years ago January 25th, 2024 | April 14, 2025 1 year ago April 14th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2021 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-3.5 Turbo (older v0613) | GPT-4.1 Mini | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Pricing
GPT-3.5 Turbo (older v0613) is roughly 2.5x more expensive compared to GPT-4.1 Mini for input tokens and roughly 1.3x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $1.00 per million tokens | $0.40 per million tokens |
Output Token Cost Cost per million output tokens | $2.00 per million tokens | $1.60 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.10 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo (older v0613) and GPT-4.1 Mini.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 14.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 20.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,129 Elo (#77 in Game Dev (58.5% win rate)) |
At a Glance
Quick overview of what makes GPT-3.5 Turbo (older v0613) and GPT-4.1 Mini unique.
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