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Beam 1.0 vs Gemma 3n E2B Instructed LiteRT (Preview)

Beam 1.0 leads the LLM Stats Score 44.6 to -10.1.

Reflection AI · Google · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to -10.1, ranking #46 overall.

In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; this is a narrower head-to-head signal than the composite indexes.

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 value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Gemma 3n E2B Instructed LiteRT (Preview)

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Gemma 3n E2B Instructed LiteRT (Preview)
Google
Core performance indexes
LLM Stats Score
44.6
#46
-10.1
#391
Reasoning
45.5
#37
-10.3
#384
Coding
33.7
#39
-4.5
#281
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
Gemma 3n E2B Instructed LiteRT (Preview)
Math
35.1#45
-6.4#335
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 28 for Gemma 3n E2B Instructed LiteRT (Preview)

2 shared

Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E2B Instructed LiteRT (Preview) is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

499.4B diff

Beam 1.0 has 499.4B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 26146.1% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
501.3B
Beam 1.0
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Beam 1.0 does not.

Gemma 3n E2B Instructed LiteRT (Preview) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Gemma 3n E2B Instructed LiteRT (Preview) uses Gemma.

License differences may affect how you can use these models in commercial or open-source projects.

Beam 1.0

Apache 2.0

Open weights

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20.

Beam 1.0 is 17 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Beam 1.0

Oct 16, 2026

4 days ago

1.4yr newer
Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemma 3n E2B Instructed LiteRT (Preview) has a cutoff of 2024-06-01.

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 Gemma 3n E2B Instructed LiteRT (Preview) (2024-06-01).

Beam 1.0

Jun 2026

2 yr newer
Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Gemma 3n E2B Instructed LiteRT (Preview) side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Gemma 3n E2B Instructed LiteRT (Preview)
Open in Playground

FAQ

Common questions about Beam 1.0 vs Gemma 3n E2B Instructed LiteRT (Preview).

Which is better, Beam 1.0 or Gemma 3n E2B Instructed LiteRT (Preview)?

Beam 1.0 leads the LLM Stats Score 44.6 to -10.1. Beam 1.0 is made by Reflection AI and Gemma 3n E2B Instructed LiteRT (Preview) is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to Gemma 3n E2B Instructed LiteRT (Preview) in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%.

What are the context window sizes for Beam 1.0 and Gemma 3n E2B Instructed LiteRT (Preview)?

Beam 1.0 supports 1.0M tokens and Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Beam 1.0 and Gemma 3n E2B Instructed LiteRT (Preview)?

Key differences include LLM Stats Score (44.6 vs -10.1), multimodal support (no vs yes), licensing (Apache 2.0 vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Gemma 3n E2B Instructed LiteRT (Preview)?

Beam 1.0 is developed by Reflection AI and Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google.

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