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Beam 1.0 vs DiffusionGemma 26B-A4B

Beam 1.0 leads the LLM Stats Score 44.6 to 19.0.

Reflection AI · Google · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 19.0, ranking #46 overall.

In the 3 individual benchmarks reported for both models, Beam 1.0 wins 3; 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 3 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose DiffusionGemma 26B-A4B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
DiffusionGemma 26B-A4B
Google
Core performance indexes
LLM Stats Score
44.6
#46
19.0
#230
Reasoning
45.5
#37
18.7
#228
Agents
28.8
#53
0.4
#197
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
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
DiffusionGemma 26B-A4B
Math
35.1#45
17.5#203
Vision
15.9#105
10.4#137
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 14 for DiffusionGemma 26B-A4B

3 shared

Beam 1.0 outperforms in 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam), while DiffusionGemma 26B-A4B is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Mon Oct 26 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

476.1B diff

Beam 1.0 has 476.1B more parameters than DiffusionGemma 26B-A4B, making it 1889.3% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Google
DiffusionGemma 26B-A4B
25.2Bparameters
501.3B
Beam 1.0
25.2B
DiffusionGemma 26B-A4B

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
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Mon Oct 26 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DiffusionGemma 26B-A4B supports multimodal inputs, whereas Beam 1.0 does not.

DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

DiffusionGemma 26B-A4B

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while DiffusionGemma 26B-A4B was released on 2026-06-10.

Beam 1.0 is 4 months newer than DiffusionGemma 26B-A4B.

Beam 1.0

Oct 16, 2026

1 weeks ago

4mo newer
DiffusionGemma 26B-A4B

Jun 10, 2026

4 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B (2025-01-01).

Beam 1.0

Jun 2026

1.4 yr newer
DiffusionGemma 26B-A4B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and DiffusionGemma 26B-A4B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
DiffusionGemma 26B-A4B
Open in Playground

FAQ

Common questions about Beam 1.0 vs DiffusionGemma 26B-A4B.

Which is better, Beam 1.0 or DiffusionGemma 26B-A4B?

Beam 1.0 leads the LLM Stats Score 44.6 to 19.0. Beam 1.0 is made by Reflection AI and DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B 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%. DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%.

What are the context window sizes for Beam 1.0 and DiffusionGemma 26B-A4B?

Beam 1.0 supports 1.0M tokens and DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B?

Key differences include LLM Stats Score (44.6 vs 19.0), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and DiffusionGemma 26B-A4B?

Beam 1.0 is developed by Reflection AI and DiffusionGemma 26B-A4B is developed by Google.

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