gpt-oss-20b vs o4 Mini High (Comparative Analysis)
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Comparative Analysis: gpt-oss-20b vs. o4 Mini High
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Overview
o4 Mini High was released 3 months before gpt-oss-20b.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 100K tokens |
Release Date When this model first became publicly available | August 5, 2025 11 months ago August 5th, 2025 | April 16, 2025 1 year ago April 16th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
gpt-oss-20b | o4 Mini High | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium | Always enabledEffort: HighDefault: High |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
gpt-oss-20b is roughly 0.03x less expensive compared to o4 Mini High for input tokens and roughly 0.03x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.03 per million tokens | $1.10 per million tokens |
Output Token Cost Cost per million output tokens | $0.13 per million tokens | $4.40 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 | $0.03 per million tokens | $0.28 per million tokens |
Benchmarks
Compare relevant benchmarks between gpt-oss-20b and o4 Mini High.
Intelligence Index Overall model quality across independent evaluations | 14.9 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 20.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 3.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 970 Elo (#98 in Data Viz (39.7% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes gpt-oss-20b and o4 Mini High unique.
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Compare o4 Mini High with:
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💻Technology
Technical analysis and explanations
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