MiMo-V2.5-Pro vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 44.9 to 25.4. MiMo-V2.5-Pro is 3.7x cheaper per token.
Xiaomi · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 25.4, ranking #43 overall.
In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.5-Pro is roughly 3.7x 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 MiMo-V2.5-Pro
- cost matters — it's about 3.7x cheaper per token
Choose Muse Spark Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for MiMo-V2.5-Pro · 17 for Muse Spark Open
MiMo-V2.5-Pro outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).
Muse Spark Open 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, MiMo-V2.5-Pro ($0.43/1M tokens) is 2.9x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 4.9x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 207.2B more parameters than Muse Spark Open, making it 25.4% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while MiMo-V2.5-Pro is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.5-Pro
Muse Spark Open
License
Usage and distribution terms
MiMo-V2.5-Pro is licensed under MIT, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
MiMo-V2.5-Pro was released on 2026-04-27, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 6 months newer than MiMo-V2.5-Pro.
Apr 27, 2026
5 months ago
Oct 15, 2026
4 days ago
5mo 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-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. Muse Spark Open is available from Together.
MiMo-V2.5-Pro
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.5-Pro vs Muse Spark Open.