Beam 1.0 vs Particle-1
Beam 1.0 leads the LLM Stats Score 44.3 to 31.9. Particle-1 is 1.4x cheaper per token.
Reflection AI · Particle AI · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.3 to 31.9, ranking #49 overall.
In the 1 individual benchmarks reported for both models, Beam 1.0 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Particle-1 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Beam 1.0
- overall performance matters — it scores 44.3 and ranks #49 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you need open weights you can self-host or fine-tune
Choose Particle-1
- cost matters — it's about 1.4x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
22 reported for Beam 1.0 · 3 for Particle-1
Beam 1.0 outperforms in 1 benchmarks (GPQA), while Particle-1 is better at 0 benchmarks.
Beam 1.0 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, Beam 1.0 ($0.40/1M tokens) is 1.6x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 1.2x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, Beam 1.0 is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 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 Beam 1.0 does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Particle-1
License
Usage and distribution terms
Beam 1.0 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
Beam 1.0 was released on 2026-10-16, while Particle-1 was released on 2026-10-28.
Particle-1 is 0 month newer than Beam 1.0.
Oct 16, 2026
1 weeks ago
Oct 28, 2026
-2 days ago
1w newerKnowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Particle-1's cutoff date is not specified.
We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Particle-1's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Particle-1 is available from Particle AI.
Beam 1.0
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Particle-1.