o3 vs Particle-1
o3 and Particle-1 are closely matched at 30.4 and 31.9 on the LLM Stats Score. Particle-1 is 8.0x cheaper per token.
OpenAI · Particle AI · Updated for 2026
Which is better?
o3 and Particle-1 are closely matched on the overall LLM Stats Score at 30.4 and 31.9.
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, Particle-1 is roughly 8.0x 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 o3
- you want predictable pricing at $2.00/M input and $8.00/M output
Choose Particle-1
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 8.0x cheaper per token
- 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
22 reported for o3 · 3 for Particle-1
o3 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, o3 ($2.00/1M tokens) is 8.0x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, o3 ($8.00/1M tokens) is 8.0x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, o3 is more expensive than Particle-1.*
* 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 o3's 200,000 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while o3 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Both o3 and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
o3
Particle-1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
o3 was released on 2025-04-16, while Particle-1 was released on 2026-10-28.
Particle-1 is 19 months newer than o3.
Apr 16, 2025
1.5 years ago
Oct 28, 2026
3 days ago
1.5yr newerKnowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while Particle-1's cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without Particle-1's cutoff date.
May 2024
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Provider Availability
o3 is available from OpenAI. Particle-1 is available from Particle AI.
o3
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against o3 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about o3 vs Particle-1.