Model Comparison
GPT OSS 120B vs o1-miniWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 29.2x cheaper per token.
Verdict: GPT OSS 120B vs o1-mini — which is better?
GPT OSS 120B (by OpenAI) and o1-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 outperforms in 2 benchmarks (GPQA, MMLU), while o1-mini is better at 0 benchmarks. GPT OSS 120B significantly outperforms across most benchmarks.
On price, GPT OSS 120B is roughly 29.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 120B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 29.2x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Aug 2025
- you need open weights you can self-host or fine-tune
Choose o1-mini if…
- you want predictable pricing at $3.00/M input and $12.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while o1-mini is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B ($0.09/1M tokens) is 33.3x cheaper than o1-mini ($3.00/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 26.7x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini 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 OSS 120B accepts 131,072 input tokens compared to o1-mini's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while o1-mini is limited to 65,536 tokens.
License
Usage and distribution terms
GPT OSS 120B is licensed under Apache 2.0, while o1-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 was released on 2025-08-05, while o1-mini was released on 2024-09-12.
GPT OSS 120B is 11 months newer than o1-mini.
Aug 5, 2025
11 months ago
10mo newerSep 12, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. o1-mini is available from OpenAI, Azure.
GPT OSS 120B
o1-mini
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
o1-mini
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT OSS 120B and o1-mini side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT OSS 120B vs o1-mini.