R1 Distill Llama 70B vs GPT-5.4 (Comparative Analysis)
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Comparative Analysis: R1 Distill Llama 70B vs. GPT-5.4
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Overview
R1 Distill Llama 70B was released 1 year before GPT-5.4.
 R1 Distill Llama 70B |  GPT-5.4 | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 8.2K tokens | 1.1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 8.2K tokens | 128K tokens |
Release Date When this model first became publicly available | January 23, 2025 1 year ago January 23rd, 2025 | March 5, 2026 4 months ago March 5th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | July 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
R1 Distill Llama 70B | GPT-5.4 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Optional | OptionalEffort: Extra High, High, Medium, Low, NoneDefault: Medium |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | GPT |
Key Features Advanced capabilities | Function CallingStructured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
R1 Distill Llama 70B is roughly 0.3x less expensive compared to GPT-5.4 for input tokens and roughly 0.05x less expensive for output tokens.
| R1 Distill Llama 70B | GPT-5.4 | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $0.80 per million tokens | $2.50 per million tokens |
Output Token Cost Cost per million output tokens | $0.80 per million tokens | $15.00 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 | $0.25 per million tokens |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $5.00 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $22.50 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $0.50 per million tokens |
Benchmarks
Compare relevant benchmarks between R1 Distill Llama 70B and GPT-5.4.
| R1 Distill Llama 70B | GPT-5.4 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 51.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 71.1 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 41.1 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,298 Elo (#17 in Game Dev (57.8% win rate)) |
At a Glance
Quick overview of what makes R1 Distill Llama 70B and GPT-5.4 unique.
R1 Distill Llama 70B by DeepSeek offers advanced reasoning. It can handle standard conversations with its 8.2K token context window. Reasonably priced at $0.80/M input and $0.80/M output tokens. Released January 23rd, 2025.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.Explore More Comparisons
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🚀Programming
Best models for coding and development
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Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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