GPT-4 vs GPT OSS 120B
GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 208.3x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-4 outperforms in 0 benchmarks, while GPT OSS 120B is better at 2 benchmarks (GPQA, MMLU). GPT OSS 120B significantly outperforms across most benchmarks.
On price, GPT OSS 120B is roughly 208.3x 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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose GPT OSS 120B
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 208.3x 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
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 0 benchmarks, while GPT OSS 120B is better at 2 benchmarks (GPQA, MMLU).
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 333.3x more expensive than GPT OSS 120B ($0.09/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 133.3x more expensive than GPT OSS 120B ($0.45/1M tokens).
In conclusion, GPT-4 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 GPT-4's 32,768 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while GPT-4 is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas GPT OSS 120B does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
GPT OSS 120B
License
Usage and distribution terms
GPT-4 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-4 was released on 2023-06-13, while GPT OSS 120B was released on 2025-08-05.
GPT OSS 120B is 26 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Aug 5, 2025
1.1 years ago
2.1yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while GPT OSS 120B's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
GPT-4
GPT OSS 120B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and GPT OSS 120B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs GPT OSS 120B.