Gemma 3 27B vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 52.4 to 8.3. Gemma 3 27B is 20.0x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 52.4 to 8.3, ranking #11 overall.
In the 1 individual benchmarks reported for both models, Muse Spark 1.3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 3 27B is roughly 20.0x 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 Gemma 3 27B
- cost matters — it's about 20.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 52.4 and ranks #11 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 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.
Individual benchmarks
27 reported for Gemma 3 27B · 11 for Muse Spark 1.3
Gemma 3 27B outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 1 benchmark (MRCR v2 (8-needle)).
Muse Spark 1.3 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, Gemma 3 27B ($0.08/1M tokens) is 15.6x cheaper than Muse Spark 1.3 ($1.25/1M tokens).
For output processing, Gemma 3 27B ($0.16/1M tokens) is 26.6x cheaper than Muse Spark 1.3 ($4.25/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than Gemma 3 27B.*
* 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 Gemma 3 27B's 131,072 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Gemma 3 27B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 27B and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 27B
Muse Spark 1.3
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, 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.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 18 months newer than Gemma 3 27B.
Mar 12, 2025
1.6 years ago
Sep 2, 2026
1 months ago
1.5yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 27B is available from DeepInfra, Novita. Muse Spark 1.3 is available from Meta Model API.
Gemma 3 27B
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 27B and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs Muse Spark 1.3.