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Beam 1.0 vs Gemma 4 E2B

Beam 1.0 leads the LLM Stats Score 44.6 to 6.3.

Reflection AI · Google · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 6.3, 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 agents — 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 4 E2B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Gemma 4 E2B
Google
Core performance indexes
LLM Stats Score
44.6
#46
6.3
#317
Reasoning
45.5
#37
5.1
#318
Agents
28.8
#53
-3.6
#206
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

2 shared
Index
Beam 1.0
Gemma 4 E2B
Math
35.1#45
5.7#283
Vision
15.9#105
0.6#198
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 11 for Gemma 4 E2B

2 shared

Beam 1.0 outperforms in 2 benchmarks (AIME 2026, GPQA), while Gemma 4 E2B is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

496.2B diff

Beam 1.0 has 496.2B more parameters than Gemma 4 E2B, making it 9729.4% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Google
Gemma 4 E2B
5.1Bparameters
501.3B
Beam 1.0
5.1B
Gemma 4 E2B

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 4 E2B
Input- tokens
Output- tokens
Sat Oct 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 E2B supports multimodal inputs, whereas Beam 1.0 does not.

Gemma 4 E2B 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 4 E2B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Beam 1.0

Apache 2.0

Open weights

Gemma 4 E2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Gemma 4 E2B was released on 2026-04-02.

Beam 1.0 is 7 months newer than Gemma 4 E2B.

Beam 1.0

Oct 16, 2026

4 days ago

6mo newer
Gemma 4 E2B

Apr 2, 2026

6 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemma 4 E2B has a cutoff of 2025-01-01.

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 4 E2B (2025-01-01).

Beam 1.0

Jun 2026

1.4 yr newer
Gemma 4 E2B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Gemma 4 E2B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Gemma 4 E2B
Open in Playground

FAQ

Common questions about Beam 1.0 vs Gemma 4 E2B.

Which is better, Beam 1.0 or Gemma 4 E2B?

Beam 1.0 leads the LLM Stats Score 44.6 to 6.3. Beam 1.0 is made by Reflection AI and Gemma 4 E2B 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 4 E2B 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 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%.

What are the context window sizes for Beam 1.0 and Gemma 4 E2B?

Beam 1.0 supports 1.0M tokens and Gemma 4 E2B 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 4 E2B?

Key differences include LLM Stats Score (44.6 vs 6.3), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Gemma 4 E2B?

Beam 1.0 is developed by Reflection AI and Gemma 4 E2B is developed by Google.

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