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Beam 1.0 vs DeepSeek VL2 Small

Beam 1.0 leads the LLM Stats Score 44.6 to 0.8.

Reflection AI · DeepSeek · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 0.8, ranking #46 overall.

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 — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose DeepSeek VL2 Small

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
DeepSeek VL2 Small
DeepSeek
Core performance indexes
LLM Stats Score
44.6
#46
0.8
#347
Reasoning
45.5
#37
-4.4
#365
Cost, coverage & limits
Benchmark wins
—
—
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
DeepSeek VL2 Small
Vision
15.9#105
0.5#199
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 14 for DeepSeek VL2 Small

No common benchmarks found

Beam 1.0 and DeepSeek VL2 Smalldon'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

Model Size

Parameter count comparison

485.3B diff

Beam 1.0 has 485.3B more parameters than DeepSeek VL2 Small, making it 3033.1% larger.

Reflection AI
Beam 1.0
501.3Bparameters
DeepSeek
DeepSeek VL2 Small
16.0Bparameters
501.3B
Beam 1.0
16.0B
DeepSeek VL2 Small

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
DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Sat Oct 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 Small supports multimodal inputs, whereas Beam 1.0 does not.

DeepSeek VL2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while DeepSeek VL2 Small uses deepseek.

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

Beam 1.0

Apache 2.0

Open weights

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while DeepSeek VL2 Small was released on 2024-12-13.

Beam 1.0 is 22 months newer than DeepSeek VL2 Small.

Beam 1.0

Oct 16, 2026

6 days ago

1.8yr newer
DeepSeek VL2 Small

Dec 13, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

Beam 1.0

Jun 2026

DeepSeek VL2 Small

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and DeepSeek VL2 Small side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
DeepSeek VL2 Small
Open in Playground

FAQ

Common questions about Beam 1.0 vs DeepSeek VL2 Small.

Which is better, Beam 1.0 or DeepSeek VL2 Small?

Beam 1.0 leads the LLM Stats Score 44.6 to 0.8. Beam 1.0 is made by Reflection AI and DeepSeek VL2 Small is made by DeepSeek. 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 DeepSeek VL2 Small 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%. DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%.

What are the context window sizes for Beam 1.0 and DeepSeek VL2 Small?

Beam 1.0 supports 1.0M tokens and DeepSeek VL2 Small 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 DeepSeek VL2 Small?

Key differences include LLM Stats Score (44.6 vs 0.8), multimodal support (no vs yes), licensing (Apache 2.0 vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and DeepSeek VL2 Small?

Beam 1.0 is developed by Reflection AI and DeepSeek VL2 Small is developed by DeepSeek.

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