GPT-5.6 Sol vs gpt-oss-120b (Comparative Analysis)
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Comparative Analysis: GPT-5.6 Sol vs. gpt-oss-120b
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Overview
gpt-oss-120b was released 11 months before GPT-5.6 Sol.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1.1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 131.1K tokens |
Release Date When this model first became publicly available | July 9, 2026 17 days ago July 9th, 2026 | August 5, 2025 11 months ago August 5th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | February 16, 2026 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.6 Sol | gpt-oss-120b | |
|---|---|---|
Input Types Supported input formats | 📁File🖼️Image📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Enabled by defaultEffort: Max, Extra High, High, Medium, Low, NoneDefault: Medium | Always enabledEffort: High, Medium, LowDefault: Medium |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5.6 Sol is roughly 125.0x more expensive compared to gpt-oss-120b for input tokens and roughly 176.5x more expensive for output tokens.
Short Context Pricing Base rates before a long-context threshold applies | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $5.00 per million tokens | $0.04 per million tokens |
Output Token Cost Cost per million output tokens | $30.00 per million tokens | $0.17 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.50 per million tokens | Not specified |
Cache Write Cost Cost to write input tokens to the cache | $6.25 per million tokens | Not specified |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | $10.00 per million tokens | Not specified |
Output Token Cost Long-context output cost per million tokens | $45.00 per million tokens | Not specified |
Cache Read Cost Long-context cache read cost per million tokens | $1.00 per million tokens | Not specified |
Cache Write Cost Long-context cache write cost per million tokens | $12.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5.6 Sol and gpt-oss-120b.
Intelligence Index Overall model quality across independent evaluations | 58.9 (Artificial Analysis index; higher is better) | 23.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 77.4 (Artificial Analysis index; higher is better) | 30.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 54 (Artificial Analysis index; higher is better) | 13.2 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,052 Elo (#90 in Game Dev (40.6% win rate)) |
At a Glance
Quick overview of what makes GPT-5.6 Sol and gpt-oss-120b unique.
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🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks