Gemini 4 Argon vs Laguna S 2.1
Gemini 4 Argon leads the LLM Stats Score 55.1 to 39.7. Laguna S 2.1 is 32.0x cheaper per token.
Google · Poolside · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 39.7, ranking #4 overall.
In the 1 individual benchmarks reported for both models, Gemini 4 Argon wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 32.0x 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 Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Laguna S 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 6 for Laguna S 2.1
Gemini 4 Argon outperforms in 1 benchmarks (DeepSWE 1.1), while Laguna S 2.1 is better at 0 benchmarks.
Gemini 4 Argon 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, Gemini 4 Argon ($2.00/1M tokens) is 20.0x more expensive than Laguna S 2.1 ($0.10/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 50.0x more expensive than Laguna S 2.1 ($0.20/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Laguna S 2.1.*
* 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. Only Gemini 4 Argon specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas Laguna S 2.1 does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 4 Argon
Laguna S 2.1
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while Laguna S 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
Gemini 4 Argon was released on 2026-09-30, while Laguna S 2.1 was released on 2026-07-21.
Gemini 4 Argon is 2 months newer than Laguna S 2.1.
Sep 30, 2026
2 weeks ago
2mo newerJul 21, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. Laguna S 2.1 is available from Poolside.
Gemini 4 Argon
Laguna S 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Laguna S 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Laguna S 2.1.