Beam 1.0 vs Seed 2.0 Pro
Beam 1.0 and Seed 2.0 Pro are closely matched at 44.6 and 39.1 on the LLM Stats Score. Beam 1.0 is 1.9x cheaper per token.
Reflection AI · ByteDance · Updated for 2026
Which is better?
Beam 1.0 and Seed 2.0 Pro are closely matched on the overall LLM Stats Score at 44.6 and 39.1.
In the 4 individual benchmarks reported for both models, Beam 1.0 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Seed 2.0 Pro
- you want predictable pricing at $0.50/M input and $3.00/M output
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 · 6 for Seed 2.0 Pro
Beam 1.0 outperforms in 3 benchmarks (AIME 2026, GPQA, SWE-Bench Verified), while Seed 2.0 Pro is better at 1 benchmark (BrowseComp).
Beam 1.0 shows notably better performance in the majority of 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 1.3x cheaper than Seed 2.0 Pro ($0.50/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 2.5x cheaper than Seed 2.0 Pro ($3.00/1M tokens).
In conclusion, Seed 2.0 Pro is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Seed 2.0 Pro's 256,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Seed 2.0 Pro supports multimodal inputs, whereas Beam 1.0 does not.
Seed 2.0 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Seed 2.0 Pro
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Seed 2.0 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Seed 2.0 Pro was released on 2026-02-14.
Beam 1.0 is 8 months newer than Seed 2.0 Pro.
Oct 16, 2026
3 days ago
8mo newerFeb 14, 2026
8 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while Seed 2.0 Pro has a cutoff of 2024-01-01.
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 Seed 2.0 Pro (2024-01-01).
Jun 2026
2.4 yr newerJan 2024
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Seed 2.0 Pro is available from DeepInfra.
Beam 1.0
Seed 2.0 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Seed 2.0 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Seed 2.0 Pro.