Laguna S 2.1 vs Qwen3.7 Max
Laguna S 2.1 and Qwen3.7 Max are closely matched at 41.4 and 46.0 on the LLM Stats Score. Laguna S 2.1 is 15.0x cheaper per token.
Poolside · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Laguna S 2.1 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 41.4 and 46.0.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Laguna S 2.1 is roughly 15.0x 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 Laguna S 2.1
- cost matters — it's about 15.0x 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
Choose Qwen3.7 Max
- you want predictable pricing at $1.25/M input and $3.75/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 · 42 for Qwen3.7 Max
Laguna S 2.1 outperforms in 1 benchmarks (SWE-bench Multilingual), while Qwen3.7 Max is better at 1 benchmark (SWE-Bench Pro).
Both models are evenly matched across the 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 12.5x cheaper than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Laguna S 2.1 ($0.20/1M tokens) is 18.8x cheaper than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Qwen3.7 Max 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 Max's 1,000,000 tokens. Only Qwen3.7 Max specifies output context (65,536 tokens).
License
Usage and distribution terms
Laguna S 2.1 is licensed under OpenMDW License v1.1, while Qwen3.7 Max 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 Max was released on 2026-05-19.
Laguna S 2.1 is 2 months newer than Qwen3.7 Max.
Jul 21, 2026
1 months ago
2mo newerMay 19, 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
Laguna S 2.1 is available from Poolside. Qwen3.7 Max is available from Novita, Together.
Laguna S 2.1
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Laguna S 2.1 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Laguna S 2.1 vs Qwen3.7 Max.