Beam 1.0 vs Granite 3.3 8B Instruct
Beam 1.0 leads the LLM Stats Score 44.6 to 1.9. Granite 3.3 8B Instruct is 1.2x cheaper per token.
Reflection AI · IBM · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 1.9, ranking #46 overall.
On price, Granite 3.3 8B Instruct is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Beam 1.0 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 Beam 1.0
- overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Granite 3.3 8B Instruct
- cost matters — it's about 1.2x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 14 for Granite 3.3 8B Instruct
Beam 1.0 and Granite 3.3 8B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 1.3x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 2.4x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
In conclusion, Beam 1.0 is more expensive than Granite 3.3 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 493.3B more parameters than Granite 3.3 8B Instruct, making it 6166.3% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. Beam 1.0 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
Granite 3.3 8B Instruct supports multimodal inputs, whereas Beam 1.0 does not.
Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Granite 3.3 8B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Granite 3.3 8B Instruct was released on 2025-04-16.
Beam 1.0 is 18 months newer than Granite 3.3 8B Instruct.
Oct 16, 2026
4 days ago
1.5yr newerApr 16, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while Granite 3.3 8B Instruct has a cutoff of 2024-04-01.
Beam 1.0 has more recent training data (up to 2026-06-30), making it potentially better informed about events through that date compared to Granite 3.3 8B Instruct (2024-04-01).
Jun 2026
2.2 yr newerApr 2024
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Granite 3.3 8B Instruct is available from Replicate.
Beam 1.0
Granite 3.3 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Granite 3.3 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Granite 3.3 8B Instruct.