Mercury 3 vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 52.2 to 36.1. Mercury 3 is 12.3x cheaper per token.
Inception · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 52.2 to 36.1, ranking #13 overall.
In the 2 individual benchmarks reported for both models, Muse Spark 1.3 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 12.3x 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 Mercury 3
- cost matters — it's about 12.3x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose Muse Spark 1.3
- overall performance matters — it scores 52.2 and ranks #13 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Mercury 3 · 11 for Muse Spark 1.3
Mercury 3 outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 2 benchmarks (DeepSearchQA, GDPval-AA).
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, Mercury 3 ($0.10/1M tokens) is 12.5x cheaper than Muse Spark 1.3 ($1.25/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 12.1x cheaper than Muse Spark 1.3 ($4.25/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than Mercury 3.*
* 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 Mercury 3's 1,000,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Mercury 3 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Mercury 3 does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mercury 3
Muse Spark 1.3
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Mercury 3 was released on 2026-10-19, while Muse Spark 1.3 was released on 2026-09-02.
Mercury 3 is 2 months newer than Muse Spark 1.3.
Oct 19, 2026
0 days ago
1mo newerSep 2, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mercury 3 is available from Inception. Muse Spark 1.3 is available from Meta Model API.
Mercury 3
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs Muse Spark 1.3.