GPT OSS 120B High vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 24.8. GPT OSS 120B High is 2.2x cheaper per token.
OpenAI · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 24.8, ranking #133 overall.
In the 1 individual benchmarks reported for both models, Particle-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B High is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Particle-1 also accepts a larger context window (1,048,576 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 OSS 120B High
- cost matters — it's about 2.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Particle-1
- overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
7 reported for GPT OSS 120B High · 3 for Particle-1
GPT OSS 120B High outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).
Particle-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B High ($0.10/1M tokens) is 2.5x cheaper than Particle-1 ($0.25/1M tokens).
For output processing, GPT OSS 120B High ($0.50/1M tokens) is 2.0x cheaper than Particle-1 ($1.00/1M tokens).
In conclusion, Particle-1 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
Particle-1 accepts 1,048,576 input tokens compared to GPT OSS 120B High's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas GPT OSS 120B High does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B High
Particle-1
License
Usage and distribution terms
GPT OSS 120B High is licensed under Apache 2.0, while Particle-1 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 Particle-1 was released on 2026-10-28.
Particle-1 is 15 months newer than GPT OSS 120B High.
Aug 5, 2025
1.2 years ago
Oct 28, 2026
1 days ago
1.2yr newerKnowledge 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 High is available from OpenAI, Fireworks. Particle-1 is available from Particle AI.
GPT OSS 120B High
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 120B High and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B High vs Particle-1.