gpt-oss-120b vs o3 Deep Research (Comparative Analysis)
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Comparative Analysis: gpt-oss-120b vs. o3 Deep Research
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Overview
gpt-oss-120b was released 2 months before o3 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 | o3 Deep Research | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text📁File |
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 significantly less expensive compared to o3 Deep Research for input tokens and significantly less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $10.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.17 per million tokens | $40.00 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 | $2.50 per million tokens |
Benchmarks
Compare relevant benchmarks between gpt-oss-120b and o3 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 o3 Deep Research unique.
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