gpt-oss-120b vs o4 Mini Deep Research (Comparative Analysis)
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Comparative Analysis: gpt-oss-120b vs. o4 Mini Deep Research
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Overview
gpt-oss-120b was released 2 months before o4 Mini Deep Research.
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 | October 10, 2025 9 months ago October 10th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
gpt-oss-120b | o4 Mini Deep Research | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📁File🖼️Image📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium | Optional |
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-120b is roughly 0.02x less expensive compared to o4 Mini Deep Research for input tokens and roughly 0.02x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.17 per million tokens | $8.00 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 | $0.50 per million tokens |
Benchmarks
Compare relevant benchmarks between gpt-oss-120b and o4 Mini Deep Research.
Intelligence Index Overall model quality across independent evaluations | 23.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 30.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 13.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,050 Elo (#91 in Game Dev (40.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes gpt-oss-120b and o4 Mini Deep Research unique.
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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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