GPT-4.1 Nano vs GPT-4o (2024-08-06) (Comparative Analysis)
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Comparative Analysis: GPT-4.1 Nano vs. GPT-4o (2024-08-06)
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Overview
GPT-4o (2024-08-06) was released 8 months before GPT-4.1 Nano.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 16.4K tokens |
Release Date When this model first became publicly available | April 14, 2025 1 year ago April 14th, 2025 | August 6, 2024 1 year ago August 6th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4.1 Nano | GPT-4o (2024-08-06) | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text🖼️Image📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Pricing
GPT-4.1 Nano is roughly 0.04x less expensive compared to GPT-4o (2024-08-06) for input tokens and roughly 0.04x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.10 per million tokens | $2.50 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $10.00 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 | $0.02 per million tokens | $1.25 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4.1 Nano and GPT-4o (2024-08-06).
Intelligence Index Overall model quality across independent evaluations | 9.6 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 11.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,027 Elo (#96 in Game Dev (49.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-4.1 Nano and GPT-4o (2024-08-06) unique.
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Compare GPT-4o (2024-08-06) with:
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