GPT-5.4 vs Llama 3.1 70B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-5.4 vs. Llama 3.1 70B Instruct
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Overview
Llama 3.1 70B Instruct was released 1 year before GPT-5.4.
 GPT-5.4 |  Llama 3.1 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 | 1.1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 16.4K tokens |
Release Date When this model first became publicly available | March 5, 2026 4 months ago March 5th, 2026 | July 23, 2024 2 years ago July 23rd, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.4 | Llama 3.1 70B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Extra High, High, Medium, Low, NoneDefault: 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 ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5.4 is roughly 6.3x more expensive compared to Llama 3.1 70B Instruct for input tokens and roughly 37.5x more expensive for output tokens.
| GPT-5.4 | Llama 3.1 70B Instruct | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.40 per million tokens |
Output Token Cost Cost per million output tokens | $15.00 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 | $0.25 per million tokens | Not specified |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | $5.00 per million tokens | Not specified |
Output Token Cost Long-context output cost per million tokens | $22.50 per million tokens | Not specified |
Cache Read Cost Long-context cache read cost per million tokens | $0.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5.4 and Llama 3.1 70B Instruct.
| GPT-5.4 | Llama 3.1 70B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 51.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 71.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 41.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,296 Elo (#19 in Game Dev (57.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-5.4 and Llama 3.1 70B Instruct unique.
GPT-5.4 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 1.1M token context window. Premium pricing at $2.50/M input and $15.00/M output tokens. Released March 5th, 2026.Llama 3.1 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 $0.40/M input and $0.40/M output tokens. Released July 23rd, 2024.Explore More Comparisons
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Compare Llama 3.1 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