Granite 3.3 8B Instruct vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 1.9. Particle-1 is 1.1x cheaper per token.
IBM · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 1.9, 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, Particle-1 is roughly 1.1x 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 Granite 3.3 8B Instruct
- 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
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.1x 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
14 reported for Granite 3.3 8B Instruct · 3 for Particle-1
Granite 3.3 8B Instruct outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (MMLU).
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, Granite 3.3 8B Instruct ($0.50/1M tokens) is 2.0x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 2.0x cheaper than Particle-1 ($1.00/1M tokens).
In conclusion, Granite 3.3 8B Instruct 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 Granite 3.3 8B Instruct's 128,000 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Granite 3.3 8B Instruct and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Granite 3.3 8B Instruct
Particle-1
License
Usage and distribution terms
Granite 3.3 8B Instruct 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
Granite 3.3 8B Instruct was released on 2025-04-16, while Particle-1 was released on 2026-10-28.
Particle-1 is 19 months newer than Granite 3.3 8B Instruct.
Apr 16, 2025
1.5 years ago
Oct 28, 2026
3 days ago
1.5yr newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while Particle-1's cutoff date is not specified.
We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without Particle-1's cutoff date.
Apr 2024
—
Provider Availability
Granite 3.3 8B Instruct is available from Replicate. Particle-1 is available from Particle AI.
Granite 3.3 8B Instruct
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Granite 3.3 8B Instruct and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Granite 3.3 8B Instruct vs Particle-1.