Claude Opus 4.8 vs Laguna S 2.1
Claude Opus 4.8 leads the LLM Stats Score 51.7 to 41.4. Laguna S 2.1 is 80.0x cheaper per token.
Anthropic · Poolside · Updated for 2026
Which is better?
Claude Opus 4.8 leads the overall LLM Stats Score 51.7 to 41.4, ranking #10 overall.
In the 4 individual benchmarks reported for both models, Claude Opus 4.8 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 80.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Laguna S 2.1 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 Claude Opus 4.8
- overall performance matters — it scores 51.7 and ranks #10 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose Laguna S 2.1
- cost matters — it's about 80.0x 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 Jul 2026
- 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
26 reported for Claude Opus 4.8 · 6 for Laguna S 2.1
Claude Opus 4.8 outperforms in 4 benchmarks (DeepSWE 1.1, SWE-bench Multilingual, SWE-Bench Pro, Toolathlon), while Laguna S 2.1 is better at 0 benchmarks.
Claude Opus 4.8 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, Claude Opus 4.8 ($5.00/1M tokens) is 50.0x more expensive than Laguna S 2.1 ($0.10/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 125.0x more expensive than Laguna S 2.1 ($0.20/1M tokens).
In conclusion, Claude Opus 4.8 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
Laguna S 2.1 accepts 1,048,576 input tokens compared to Claude Opus 4.8's 1,000,000 tokens. Only Claude Opus 4.8 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Claude Opus 4.8 supports multimodal inputs, whereas Laguna S 2.1 does not.
Claude Opus 4.8 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.8
Laguna S 2.1
License
Usage and distribution terms
Claude Opus 4.8 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
Claude Opus 4.8 was released on 2026-05-28, while Laguna S 2.1 was released on 2026-07-21.
Laguna S 2.1 is 2 months newer than Claude Opus 4.8.
May 28, 2026
3 months ago
Jul 21, 2026
1 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.8 is available from Anthropic, Vertex AI. Laguna S 2.1 is available from Poolside.
Claude Opus 4.8
Laguna S 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and Laguna S 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.8 vs Laguna S 2.1.