Beam 1.0 vs DeepSeek-V4-Flash-Vision-Exp
Beam 1.0 and DeepSeek-V4-Flash-Vision-Exp are closely matched at 44.6 and 44.2 on the LLM Stats Score. DeepSeek-V4-Flash-Vision-Exp is 1.8x cheaper per token.
Reflection AI · DeepSeek · Updated for 2026
Which is better?
Beam 1.0 and DeepSeek-V4-Flash-Vision-Exp are closely matched on the overall LLM Stats Score at 44.6 and 44.2.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Beam 1.0
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose DeepSeek-V4-Flash-Vision-Exp
- cost matters — it's about 1.8x cheaper per token
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 · 7 for DeepSeek-V4-Flash-Vision-Exp
Beam 1.0 outperforms in 1 benchmarks (AutomationBench), while DeepSeek-V4-Flash-Vision-Exp is better at 1 benchmark (Terminal-Bench 2.1).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Beam 1.0 ($0.40/1M tokens) is 1.8x more expensive than DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 1.8x more expensive than DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens).
In conclusion, Beam 1.0 is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Beam 1.0 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Beam 1.0 does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
DeepSeek-V4-Flash-Vision-Exp
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21.
Beam 1.0 is 2 months newer than DeepSeek-V4-Flash-Vision-Exp.
Oct 16, 2026
1 weeks ago
1mo newerAug 21, 2026
2 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while DeepSeek-V4-Flash-Vision-Exp'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-V4-Flash-Vision-Exp's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek, DeepInfra.
Beam 1.0
DeepSeek-V4-Flash-Vision-Exp
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and DeepSeek-V4-Flash-Vision-Exp side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs DeepSeek-V4-Flash-Vision-Exp.
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