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Beam 1.0 vs Gemma 3n E4B Instructed

Beam 1.0 leads the LLM Stats Score 44.6 to -5.1. Beam 1.0 is 41.7x cheaper per token.

Reflection AI · Google · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to -5.1, 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.

On price, Beam 1.0 is roughly 41.7x 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 value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 41.7x 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
  • you need open weights you can self-host or fine-tune

Choose Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

At a glance

The differences that matter most.

Core performance indexes
44.6
#46
-5.1
#376
45.5
#37
-6.0
#375
33.7
#39
-0.3
#266
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.40 / M
$20.00 / M
Output price
$1.20 / M
$40.00 / M
Context window
1,048,576
32,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
Gemma 3n E4B Instructed
35.1#45
-1.8#319
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 18 for Gemma 3n E4B Instructed

2 shared

Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E4B Instructed is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Beam 1.0 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 50.0x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 33.3x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Beam 1.0.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Notice missing or incorrect data?

Model Size

Parameter count comparison

493.3B diff

Beam 1.0 has 493.3B more parameters than Gemma 3n E4B Instructed, making it 6166.3% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
501.3B
Beam 1.0
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B Instructed supports multimodal inputs, whereas Beam 1.0 does not.

Gemma 3n E4B Instructed 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 E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Gemma 3n E4B Instructed uses a proprietary license.

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 E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Gemma 3n E4B Instructed was released on 2025-06-26.

Beam 1.0 is 16 months newer than Gemma 3n E4B Instructed.

Beam 1.0

Oct 16, 2026

3 days ago

1.3yr newer
Gemma 3n E4B Instructed

Jun 26, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemma 3n E4B Instructed 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 E4B Instructed (2024-06-01).

Beam 1.0

Jun 2026

2 yr newer
Gemma 3n E4B Instructed

Jun 2024

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Gemma 3n E4B Instructed is available from Together.

Beam 1.0

together logo
Together
Input Price:Input: $0.40/1MOutput Price:Output: $1.20/1M
reflection logo
Unknown Organization

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Gemma 3n E4B Instructed side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Gemma 3n E4B Instructed
Open in Playground

FAQ

Common questions about Beam 1.0 vs Gemma 3n E4B Instructed.

Which is better, Beam 1.0 or Gemma 3n E4B Instructed?

Beam 1.0 leads the LLM Stats Score 44.6 to -5.1. Beam 1.0 is made by Reflection AI and Gemma 3n E4B Instructed 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 E4B Instructed 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 E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.

Is Beam 1.0 cheaper than Gemma 3n E4B Instructed?

Beam 1.0 is 50.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.

What are the context window sizes for Beam 1.0 and Gemma 3n E4B Instructed?

Beam 1.0 supports 1.0M tokens and Gemma 3n E4B Instructed supports 32K 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 E4B Instructed?

Key differences include LLM Stats Score (44.6 vs -5.1), context window (1.0M vs 32K), input pricing ($0.40 vs $20.00/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Gemma 3n E4B Instructed?

Beam 1.0 is developed by Reflection AI and Gemma 3n E4B Instructed is developed by Google.