GPT-6.1 Sol vs Laguna XS 2.1
GPT-6.1 Sol leads the LLM Stats Score 53.6 to 23.9. Laguna XS 2.1 is 32.0x cheaper per token.
OpenAI · Poolside · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to 23.9, ranking #7 overall.
On price, Laguna XS 2.1 is roughly 32.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Sol also accepts a larger context window (1,050,000 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 GPT-6.1 Sol
- overall performance matters — it scores 53.6 and ranks #7 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Laguna XS 2.1
- cost matters — it's about 32.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
17 reported for GPT-6.1 Sol · 4 for Laguna XS 2.1
GPT-6.1 Sol and Laguna XS 2.1don'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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6.1 Sol ($2.00/1M tokens) is 20.0x more expensive than Laguna XS 2.1 ($0.10/1M tokens).
For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 50.0x more expensive than Laguna XS 2.1 ($0.20/1M tokens).
In conclusion, GPT-6.1 Sol is more expensive than Laguna XS 2.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Sol accepts 1,050,000 input tokens compared to Laguna XS 2.1's 262,144 tokens. Only GPT-6.1 Sol specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6.1 Sol supports multimodal inputs, whereas Laguna XS 2.1 does not.
GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6.1 Sol
Laguna XS 2.1
License
Usage and distribution terms
GPT-6.1 Sol is licensed under a proprietary license, 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.
Proprietary
Closed source
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
GPT-6.1 Sol was released on 2026-09-29, while Laguna XS 2.1 was released on 2026-07-02.
GPT-6.1 Sol is 3 months newer than Laguna XS 2.1.
Sep 29, 2026
2 weeks ago
2mo newerJul 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Laguna XS 2.1's cutoff date is not specified.
We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Laguna XS 2.1's cutoff date.
Apr 2026
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Provider Availability
GPT-6.1 Sol is available from OpenAI. Laguna XS 2.1 is available from Poolside.
GPT-6.1 Sol
Laguna XS 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Sol and Laguna XS 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Sol vs Laguna XS 2.1.