Model Comparison
GPT-5.6 Sol vs GPT OSS 120BWhich is better in 2026?
GPT-5.6 Sol shows notably better performance in the majority of benchmarks. GPT OSS 120B is 62.5x cheaper per token.
Verdict: GPT-5.6 Sol vs GPT OSS 120B — which is better?
GPT-5.6 Sol (by OpenAI) and GPT OSS 120B (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, HealthBench Hard), while GPT OSS 120B is better at 1 benchmark (HealthBench). GPT-5.6 Sol shows notably better performance in the majority of benchmarks.
On price, GPT OSS 120B is roughly 62.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.6 Sol if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose GPT OSS 120B if…
- cost matters — it's about 62.5x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, HealthBench Hard), while GPT OSS 120B is better at 1 benchmark (HealthBench).
GPT-5.6 Sol shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 55.6x more expensive than GPT OSS 120B ($0.09/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 66.7x more expensive than GPT OSS 120B ($0.45/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to GPT OSS 120B's 131,072 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Sol supports multimodal inputs, whereas GPT OSS 120B does not.
GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Sol
GPT OSS 120B
License
Usage and distribution terms
GPT-5.6 Sol is licensed under a proprietary license, while GPT OSS 120B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.6 Sol was released on 2026-07-09, while GPT OSS 120B was released on 2025-08-05.
GPT-5.6 Sol is 11 months newer than GPT OSS 120B.
Jul 9, 2026
2 weeks ago
11mo newerAug 5, 2025
11 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while GPT OSS 120B's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
Feb 2026
—
Provider Availability
GPT-5.6 Sol is available from OpenAI. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
GPT-5.6 Sol
GPT OSS 120B
Outputs Comparison
Key Takeaways
GPT-5.6 Sol
View detailsOpenAI
GPT OSS 120B
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and GPT OSS 120B side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about GPT-5.6 Sol vs GPT OSS 120B.