GPT-5 Nano vs Llama 3.3 70B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-5 Nano vs. Llama 3.3 70B Instruct
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Overview
Llama 3.3 70B Instruct was released 8 months before GPT-5 Nano.
 GPT-5 Nano |  Llama 3.3 70B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Meta |
Input Context Window Maximum input tokens this model can process at once | 400K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 128K tokens |
Release Date When this model first became publicly available | August 7, 2025 11 months ago August 7th, 2025 | December 6, 2024 1 year ago December 6th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | May 31, 2024 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5 Nano | Llama 3.3 70B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, Low, MinimalDefault: Medium | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5 Nano is roughly 0.4x less expensive compared to Llama 3.3 70B Instruct for input tokens and roughly 1.0x less expensive for output tokens.
| GPT-5 Nano | Llama 3.3 70B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $0.13 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.40 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 | $0.0050 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5 Nano and Llama 3.3 70B Instruct.
| GPT-5 Nano | Llama 3.3 70B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 9.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 11.9 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 0.3 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,126 Elo (#83 in Website (48.9% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-5 Nano and Llama 3.3 70B Instruct unique.
GPT-5 Nano by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 400K token context window. Very affordable at $0.05/M input and $0.40/M output tokens. Includes built-in content moderation for safer outputs. Released August 7th, 2025.Llama 3.3 70B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.13/M input and $0.40/M output tokens. Released December 6th, 2024.Explore More Comparisons
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Compare Llama 3.3 70B 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