Beam 1.0 vs DeepSeek VL2
Beam 1.0 leads the LLM Stats Score 44.6 to 2.5.
Reflection AI · DeepSeek · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 2.5, ranking #46 overall.
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 — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose DeepSeek VL2
- you are already invested in the DeepSeek ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 14 for DeepSeek VL2
Beam 1.0 and DeepSeek VL2don'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
Beam 1.0 has 474.3B more parameters than DeepSeek VL2, making it 1756.7% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 supports multimodal inputs, whereas Beam 1.0 does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
DeepSeek VL2
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while DeepSeek VL2 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
deepseek
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while DeepSeek VL2 was released on 2024-12-13.
Beam 1.0 is 22 months newer than DeepSeek VL2.
Oct 16, 2026
6 days ago
1.8yr newerDec 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'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's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. DeepSeek VL2 is available from Replicate.
Beam 1.0
DeepSeek VL2
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and DeepSeek VL2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs DeepSeek VL2.