Laguna S 2.1 vs Qwen3.7-Plus
Laguna S 2.1 and Qwen3.7-Plus are closely matched at 41.4 and 43.3 on the LLM Stats Score. Laguna S 2.1 is 4.5x cheaper per token.
Poolside · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Laguna S 2.1 and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 41.4 and 43.3.
In the 2 individual benchmarks reported for both models, Laguna S 2.1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 4.5x 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 Laguna S 2.1
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 4.5x 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
Choose Qwen3.7-Plus
- you want predictable pricing at $0.32/M input and $1.28/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Laguna S 2.1 · 70 for Qwen3.7-Plus
Laguna S 2.1 outperforms in 2 benchmarks (SWE-bench Multilingual, SWE-Bench Pro), while Qwen3.7-Plus is better at 0 benchmarks.
Laguna S 2.1 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, Laguna S 2.1 ($0.10/1M tokens) is 3.2x cheaper than Qwen3.7-Plus ($0.32/1M tokens).
For output processing, Laguna S 2.1 ($0.20/1M tokens) is 6.4x cheaper than Qwen3.7-Plus ($1.28/1M tokens).
In conclusion, Qwen3.7-Plus 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 Qwen3.7-Plus's 1,000,000 tokens. Only Qwen3.7-Plus specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.7-Plus supports multimodal inputs, whereas Laguna S 2.1 does not.
Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
Laguna S 2.1
Qwen3.7-Plus
License
Usage and distribution terms
Laguna S 2.1 is licensed under OpenMDW License v1.1, while Qwen3.7-Plus 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 S 2.1 was released on 2026-07-21, while Qwen3.7-Plus was released on 2026-05-31.
Laguna S 2.1 is 2 months newer than Qwen3.7-Plus.
Jul 21, 2026
1 months ago
1mo newerMay 31, 2026
2 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
Laguna S 2.1 is available from Poolside. Qwen3.7-Plus is available from Together, Fireworks.
Laguna S 2.1
Qwen3.7-Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against Laguna S 2.1 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about Laguna S 2.1 vs Qwen3.7-Plus.