MiMo-V2-Flash vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 54.3 to 30.7. MiMo-V2-Flash is 13.3x cheaper per token.
Xiaomi · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 30.7, ranking #6 overall.
On price, MiMo-V2-Flash is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 MiMo-V2-Flash
- cost matters — it's about 13.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 54.3 and ranks #6 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- 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
15 reported for MiMo-V2-Flash · 11 for Muse Spark 1.3
MiMo-V2-Flash and Muse Spark 1.3don'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, MiMo-V2-Flash ($0.10/1M tokens) is 12.5x cheaper than Muse Spark 1.3 ($1.25/1M tokens).
For output processing, MiMo-V2-Flash ($0.30/1M tokens) is 14.2x cheaper than Muse Spark 1.3 ($4.25/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than MiMo-V2-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas MiMo-V2-Flash does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2-Flash
Muse Spark 1.3
License
Usage and distribution terms
MiMo-V2-Flash is licensed under MIT, while Muse Spark 1.3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2-Flash was released on 2025-12-16, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 9 months newer than MiMo-V2-Flash.
Dec 16, 2025
9 months ago
Sep 2, 2026
2 weeks ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2-Flash is available from Xiaomi. Muse Spark 1.3 is available from Meta Model API.
MiMo-V2-Flash
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2-Flash and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2-Flash vs Muse Spark 1.3.