GPT-5 vs GPT OSS 120B
GPT-5 and GPT OSS 120B are closely matched at 33.2 and 28.3 on the LLM Stats Score. GPT OSS 120B is 48.9x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-5 and GPT OSS 120B are closely matched on the overall LLM Stats Score at 33.2 and 28.3.
In the 4 individual benchmarks reported for both models, GPT-5 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B is roughly 48.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
Choose GPT OSS 120B
- cost matters — it's about 48.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
34 reported for GPT-5 · 7 for GPT OSS 120B
GPT-5 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, MMLU), while GPT OSS 120B is better at 1 benchmark (HealthBench Hard).
GPT-5 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 ($1.25/1M tokens) is 33.8x more expensive than GPT OSS 120B ($0.04/1M tokens).
For output processing, GPT-5 ($10.00/1M tokens) is 58.8x more expensive than GPT OSS 120B ($0.17/1M tokens).
In conclusion, GPT-5 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 accepts 400,000 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 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5 supports multimodal inputs, whereas GPT OSS 120B does not.
GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5
GPT OSS 120B
License
Usage and distribution terms
GPT-5 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 was released on 2025-08-07, while GPT OSS 120B was released on 2025-08-05.
GPT-5 is 0 month newer than GPT OSS 120B.
Aug 7, 2025
1.2 years ago
2d newerAug 5, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-5 has a documented knowledge cutoff of 2024-09-30, while GPT OSS 120B's cutoff date is not specified.
We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
Sep 2024
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Provider Availability
GPT-5 is available from OpenAI. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
GPT-5
GPT OSS 120B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 and GPT OSS 120B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 vs GPT OSS 120B.