Laguna S 2.1 vs MiMo-V2.6-Flash
Laguna S 2.1 and MiMo-V2.6-Flash are closely matched at 40.6 and 45.6 on the LLM Stats Score. Laguna S 2.1 is 1.4x cheaper per token.
Poolside · Xiaomi · Updated for 2026
Which is better?
Laguna S 2.1 and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 40.6 and 45.6.
In the 2 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 1.4x 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 Laguna S 2.1
- cost matters — it's about 1.4x cheaper per token
Choose MiMo-V2.6-Flash
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
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 · 16 for MiMo-V2.6-Flash
Laguna S 2.1 outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1).
MiMo-V2.6-Flash 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 1.4x cheaper than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, Laguna S 2.1 ($0.20/1M tokens) is 1.4x cheaper than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, MiMo-V2.6-Flash is more expensive than Laguna S 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Flash has 191.0B more parameters than Laguna S 2.1, making it 161.9% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens.
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Flash supports multimodal inputs, whereas Laguna S 2.1 does not.
MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Laguna S 2.1
MiMo-V2.6-Flash
License
Usage and distribution terms
Laguna S 2.1 is licensed under OpenMDW License v1.1, while MiMo-V2.6-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
OpenMDW License v1.1
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Laguna S 2.1 was released on 2026-07-21, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 2 months newer than Laguna S 2.1.
Jul 21, 2026
2 months ago
Sep 22, 2026
0 days ago
2mo 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 S 2.1 is available from Poolside. MiMo-V2.6-Flash is available from Xiaomi.
Laguna S 2.1
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Laguna S 2.1 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Laguna S 2.1 vs MiMo-V2.6-Flash.