Laguna XS 2.1 vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 45.8 to 23.9. Laguna XS 2.1 is 8.3x cheaper per token.
Poolside · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 45.8 to 23.9, ranking #39 overall.
On price, Laguna XS 2.1 is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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 Laguna XS 2.1
- cost matters — it's about 8.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Mistral Large 4
- overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Laguna XS 2.1 · 18 for Mistral Large 4
Laguna XS 2.1 and Mistral Large 4don'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, Laguna XS 2.1 ($0.10/1M tokens) is 6.8x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, Laguna XS 2.1 ($0.20/1M tokens) is 10.4x cheaper than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Laguna XS 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 1017.0B more parameters than Laguna XS 2.1, making it 3081.8% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Laguna XS 2.1's 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas Laguna XS 2.1 does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Laguna XS 2.1
Mistral Large 4
License
Usage and distribution terms
Laguna XS 2.1 is licensed under OpenMDW License v1.1, while Mistral Large 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
OpenMDW License v1.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Laguna XS 2.1 was released on 2026-07-02, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 3 months newer than Laguna XS 2.1.
Jul 2, 2026
3 months ago
Oct 6, 2026
1 weeks ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Laguna XS 2.1 is available from Poolside. Mistral Large 4 is available from Mistral AI.
Laguna XS 2.1
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Laguna XS 2.1 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Laguna XS 2.1 vs Mistral Large 4.