R1 Distill Llama 70B vs GPT-5 Mini (Comparative Analysis)
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Comparative Analysis: R1 Distill Llama 70B vs. GPT-5 Mini
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Overview
R1 Distill Llama 70B was released 6 months before GPT-5 Mini.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 8.2K tokens | 400K 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 | August 7, 2025 1 year ago August 7th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | July 31, 2024 | May 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
R1 Distill Llama 70B | GPT-5 Mini | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Always enabledEffort: High, Medium, Low, MinimalDefault: 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 Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
R1 Distill Llama 70B is roughly 3.2x more expensive compared to GPT-5 Mini for input tokens and roughly 0.4x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.80 per million tokens | $0.25 per million tokens |
Output Token Cost Cost per million output tokens | $0.80 per million tokens | $2.00 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 | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between R1 Distill Llama 70B and GPT-5 Mini.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 25.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 15.6 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 19.6 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,171 Elo (#63 in Game Dev (46.5% win rate)) |
At a Glance
Quick overview of what makes R1 Distill Llama 70B and GPT-5 Mini unique.
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