Model Comparison

Gemini 1.5 Pro vs Muse Spark 1.1Which is better in 2026?

Comparing Gemini 1.5 Pro and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Gemini 1.5 Pro vs Muse Spark 1.1 — which is better?

Gemini 1.5 Pro (by Google) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Muse Spark 1.1 is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Pro if…

  • you process long inputs — it offers a 2,097,152 token context window

Choose Muse Spark 1.1 if…

  • cost matters — it's about 2.2x cheaper per token
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 1.5 Pro and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.1 costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 2.0x more expensive than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 2.4x more expensive than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Muse Spark 1.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Muse Spark 1.1's 1,048,576 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Pro

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.5 Pro

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 27 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.2 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

2.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Muse Spark 1.1's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.

Gemini 1.5 Pro

Nov 2023

Muse Spark 1.1

—

Provider Availability

Gemini 1.5 Pro is available from Google. Muse Spark 1.1 is available from Meta Model API.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (2,097,152 tokens)
Meta
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Meta
Muse Spark 1.1

FAQ

Common questions about Gemini 1.5 Pro vs Muse Spark 1.1.

Which is better, Gemini 1.5 Pro or Muse Spark 1.1?

Gemini 1.5 Pro (Google) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 1.5 Pro compare to Muse Spark 1.1 in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is Gemini 1.5 Pro cheaper than Muse Spark 1.1?

Muse Spark 1.1 is 2.0x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Gemini 1.5 Pro and Muse Spark 1.1?

Gemini 1.5 Pro supports 2.1M tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Pro and Muse Spark 1.1?

Key differences include context window (2.1M vs 1.0M), input pricing ($2.50 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Muse Spark 1.1?

Gemini 1.5 Pro is developed by Google and Muse Spark 1.1 is developed by Meta.

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