Gemini 2.5 Pro vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 52.4 to 27.8. Muse Spark 1.3 is 1.7x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 52.4 to 27.8, ranking #11 overall.
On price, Muse Spark 1.3 is roughly 1.7x 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 Gemini 2.5 Pro
- you want predictable pricing at $1.25/M input and $10.00/M output
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
- cost matters — it's about 1.7x cheaper per token
- 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
16 reported for Gemini 2.5 Pro · 11 for Muse Spark 1.3
Gemini 2.5 Pro 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, Gemini 2.5 Pro ($1.25/1M tokens) costs the same as Muse Spark 1.3 ($1.25/1M tokens).
For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 2.4x more expensive than Muse Spark 1.3 ($4.25/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than Muse Spark 1.3.*
* 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 Gemini 2.5 Pro's 1,000,000 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while Muse Spark 1.3 is limited to 943,718 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.5 Pro and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Pro
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
Gemini 2.5 Pro was released on 2025-05-20, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 16 months newer than Gemini 2.5 Pro.
May 20, 2025
1.4 years ago
Sep 2, 2026
1 months ago
1.3yr newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Muse Spark 1.3's cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Pro is available from DeepInfra, Google. Muse Spark 1.3 is available from Meta Model API.
Gemini 2.5 Pro
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Pro and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Pro vs Muse Spark 1.3.