Beam 1.0 vs Laguna XS 2.1
Beam 1.0 leads the LLM Stats Score 44.6 to 23.9. Laguna XS 2.1 is 4.8x cheaper per token.
Reflection AI · Poolside · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 23.9, 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.
On price, Laguna XS 2.1 is roughly 4.8x 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
- overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- 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 Laguna XS 2.1
- cost matters — it's about 4.8x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
22 reported for Beam 1.0 · 4 for Laguna XS 2.1
Beam 1.0 outperforms in 3 benchmarks (SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified), while Laguna XS 2.1 is better at 0 benchmarks.
Beam 1.0 significantly outperforms across most 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 4.0x more expensive than Laguna XS 2.1 ($0.10/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 6.0x more expensive than Laguna XS 2.1 ($0.20/1M tokens).
In conclusion, Beam 1.0 is more expensive than Laguna XS 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 468.3B more parameters than Laguna XS 2.1, making it 1419.1% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Laguna XS 2.1's 262,144 tokens. Only Beam 1.0 specifies output context (131,072 tokens).
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Laguna XS 2.1 uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Laguna XS 2.1 was released on 2026-07-02.
Beam 1.0 is 4 months newer than Laguna XS 2.1.
Oct 16, 2026
4 days ago
3mo newerJul 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Laguna XS 2.1'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 Laguna XS 2.1's cutoff date.
Jun 2026
—
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Laguna XS 2.1 is available from Poolside.
Beam 1.0
Laguna XS 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Laguna XS 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Laguna XS 2.1.