GPT-4.1 Mini vs Llama 3.2 1B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-4.1 Mini vs. Llama 3.2 1B Instruct
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Overview
Llama 3.2 1B Instruct was released 6 months 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 | 1M tokens | 60K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 60K tokens |
Release Date When this model first became publicly available | April 14, 2025 1 year ago April 14th, 2025 | September 25, 2024 1 year ago September 25th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4.1 Mini | Llama 3.2 1B Instruct | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4.1 Mini is roughly 13.3x more expensive compared to Llama 3.2 1B Instruct for input tokens and roughly 8.0x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $0.03 per million tokens |
Output Token Cost Cost per million output tokens | $1.60 per million tokens | $0.20 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.10 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-4.1 Mini and Llama 3.2 1B Instruct.
Intelligence Index Overall model quality across independent evaluations | 14.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 20.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,127 Elo (#77 in Game Dev (58.5% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-4.1 Mini and Llama 3.2 1B Instruct unique.
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Compare Llama 3.2 1B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks