Muse Spark Open vs Sarvam-105B
Muse Spark Open leads the LLM Stats Score 44.9 to 25.4.
Meta · Sarvam AI · 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning and coding — 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
Choose Sarvam-105B
- you are already invested in the Sarvam AI ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 14 for Sarvam-105B
Muse Spark Open outperforms in 1 benchmarks (GPQA), while Sarvam-105B is better at 0 benchmarks.
Muse Spark Open significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Muse Spark Open has 711.0B more parameters than Sarvam-105B, making it 677.1% larger.
Context Window
Maximum input and output token capacity
Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Sarvam-105B does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark Open
Sarvam-105B
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Sarvam-105B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Sarvam-105B was released on 2026-03-06.
Muse Spark Open is 7 months newer than Sarvam-105B.
Oct 15, 2026
4 days ago
7mo newerMar 6, 2026
7 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Sarvam-105B.