Model Comparison
GPT OSS 120B High vs o4-miniWhich is better in 2026?
o4-mini significantly outperforms across most benchmarks. GPT OSS 120B High is 9.6x cheaper per token.
Verdict: GPT OSS 120B High vs o4-mini — which is better?
GPT OSS 120B High (by OpenAI) and o4-mini (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 OSS 120B High outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (AIME 2025, GPQA). o4-mini significantly outperforms across most benchmarks.
On price, GPT OSS 120B High is roughly 9.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o4-mini also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT OSS 120B High if…
- cost matters — it's about 9.6x cheaper per token
- you want the most recent training data — it shipped Aug 2025
- you need open weights you can self-host or fine-tune
Choose o4-mini if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B High outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (AIME 2025, GPQA).
o4-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B High ($0.10/1M tokens) is 11.0x cheaper than o4-mini ($1.10/1M tokens).
For output processing, GPT OSS 120B High ($0.50/1M tokens) is 8.8x cheaper than o4-mini ($4.40/1M tokens).
In conclusion, o4-mini is more expensive than GPT OSS 120B High.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o4-mini accepts 200,000 input tokens compared to GPT OSS 120B High's 131,072 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while o4-mini is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
o4-mini supports multimodal inputs, whereas GPT OSS 120B High does not.
o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B High
o4-mini
License
Usage and distribution terms
GPT OSS 120B High is licensed under Apache 2.0, while o4-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GPT OSS 120B High was released on 2025-08-05, while o4-mini was released on 2025-04-16.
GPT OSS 120B High is 4 months newer than o4-mini.
Aug 5, 2025
11 months ago
3mo newerApr 16, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while GPT OSS 120B High's cutoff date is not specified.
We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without GPT OSS 120B High's cutoff date.
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May 2024
Provider Availability
GPT OSS 120B High is available from OpenAI, Fireworks. o4-mini is available from OpenAI.
GPT OSS 120B High
o4-mini
Outputs Comparison
Key Takeaways
o4-mini
View detailsOpenAI
GPT OSS 120B Higho4-miniDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT OSS 120B High and o4-mini side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT OSS 120B High vs o4-mini.